res_namegrudzień 11, 2015
Analizując badany zbiór danych opisujący poszczególne ligandy, można było zauważyć wiele zależności między poszczególnymi zmiennymi opisujących poszczególne wystąpienia ligandu. Niektóre zmienne, przechowywały wartości stałe, które nie niosły ze sobą wartościowej informacji w eksploracji danych, inne zmienne opisywały wyliczone wcześniej atrybuty, bądź odnosicły się do poprawności pliku PDB. Jednym z postawionych wniosków było to, że niektóre zmienne były ze sobą silnie powiązane, niektóre zmienne opisywały tą samą informację, różniąc sie jedynie progiem odcięcia. Analizując dane można było także stworzyć pewne modele klasyfikacyjne, a także modele regresji, które ułatwiały predykcję innych wartości.
library(knitr)
library(dplyr)
library(ggplot2)
library(tidyr)
library(ggExtra)
library(corrgram)
library(RColorBrewer)
library(caret)
library(pROC)
opts_chunk$set(echo=TRUE, cache=TRUE)
Powyżej znajduje się lista wykorzystanych bibliotek.
Dodatkowo ustawione zostały zmienne globalne, które mają zgeneralizować wyświetlanie fragmentów kodu i utrzymywaniu poszczególnych fragmentów w pamięci.
set.seed(23)
Powtarzalność badań zapeniła funkcja set.seed() z odpowiednio ustawionym ziarnem. ***
dane <- read.table(file = "all_summary.txt",
header = FALSE,
sep = ";",
dec = ".",
fill = FALSE, #czy usupełniać kolumny
col.names = strsplit(readLines("all_summary.txt", n = 1), ";")[[1]],
skip = 1,
na.strings = c('NAN'),
blank.lines.skip = TRUE, #Opóść linie puste
stringsAsFactors = TRUE
)
Do wczytania danych wykorzystana została funkcja read.table(). By dokonać dokładnego odwzorowania danych, znajdujących się w pliku tekstowym, do obiektu data.frame, ustawione zostały odpowiednie argumenty funkcji. ***
dane <- dane %>%
filter(!is.na(res_name),
!is.nan(res_name),
!res_name %in% c('DA','DC','DT','DU','DG','DI','UNK','UNX','UNL','PR','PD','Y1','EU','N','15P','UQ','PX4','NAN'))
Jako, że zmienna res_name w późniejszych badaniach posłużyła jakozmienna klasyfikująca dany ligard, musiała ona być odpowiednio identyfikowana przez określoną wartość. Mając to na uwadze, usunięte zostały wiersze, których wartość zmiennej res_name była niedostępna, czyli równa NA. ***
dane <- dane %>%
distinct(pdb_code, res_name)
kable(summary(dane))
| title | pdb_code | res_name | res_id | chain_id | local_BAa | local_NPa | local_Ra | local_RGa | local_SRGa | local_CCSa | local_CCPa | local_ZOa | local_ZDa | local_ZD_minus_a | local_ZD_plus_a | local_res_atom_count | local_res_atom_non_h_count | local_res_atom_non_h_occupancy_sum | local_res_atom_non_h_electron_sum | local_res_atom_non_h_electron_occupancy_sum | local_res_atom_C_count | local_res_atom_N_count | local_res_atom_O_count | local_res_atom_S_count | dict_atom_non_h_count | dict_atom_non_h_electron_sum | dict_atom_C_count | dict_atom_N_count | dict_atom_O_count | dict_atom_S_count | part_00_blob_electron_sum | part_00_blob_volume_sum | part_00_blob_parts | part_00_shape_O3 | part_00_shape_O4 | part_00_shape_O5 | part_00_shape_FL | part_00_shape_O3_norm | part_00_shape_O4_norm | part_00_shape_O5_norm | part_00_shape_FL_norm | part_00_shape_I1 | part_00_shape_I2 | part_00_shape_I3 | part_00_shape_I4 | part_00_shape_I5 | part_00_shape_I6 | part_00_shape_I1_norm | part_00_shape_I2_norm | part_00_shape_I3_norm | part_00_shape_I4_norm | part_00_shape_I5_norm | part_00_shape_I6_norm | part_00_shape_I1_scaled | part_00_shape_I2_scaled | part_00_shape_I3_scaled | part_00_shape_I4_scaled | part_00_shape_I5_scaled | part_00_shape_I6_scaled | part_00_shape_M000 | part_00_shape_E3_E1 | part_00_shape_E2_E1 | part_00_shape_E3_E2 | part_00_shape_sqrt_E1 | part_00_shape_sqrt_E2 | part_00_shape_sqrt_E3 | part_00_density_O3 | part_00_density_O4 | part_00_density_O5 | part_00_density_FL | part_00_density_O3_norm | part_00_density_O4_norm | part_00_density_O5_norm | part_00_density_FL_norm | part_00_density_I1 | part_00_density_I2 | part_00_density_I3 | part_00_density_I4 | part_00_density_I5 | part_00_density_I6 | part_00_density_I1_norm | part_00_density_I2_norm | part_00_density_I3_norm | part_00_density_I4_norm | part_00_density_I5_norm | part_00_density_I6_norm | part_00_density_I1_scaled | part_00_density_I2_scaled | part_00_density_I3_scaled | part_00_density_I4_scaled | part_00_density_I5_scaled | part_00_density_I6_scaled | part_00_density_M000 | part_00_density_E3_E1 | part_00_density_E2_E1 | part_00_density_E3_E2 | part_00_density_sqrt_E1 | part_00_density_sqrt_E2 | part_00_density_sqrt_E3 | part_01_blob_electron_sum | part_01_blob_volume_sum | part_01_blob_parts | part_01_shape_O3 | part_01_shape_O4 | part_01_shape_O5 | part_01_shape_FL | part_01_shape_O3_norm | part_01_shape_O4_norm | part_01_shape_O5_norm | part_01_shape_FL_norm | part_01_shape_I1 | part_01_shape_I2 | part_01_shape_I3 | part_01_shape_I4 | part_01_shape_I5 | part_01_shape_I6 | part_01_shape_I1_norm | part_01_shape_I2_norm | part_01_shape_I3_norm | part_01_shape_I4_norm | part_01_shape_I5_norm | part_01_shape_I6_norm | part_01_shape_I1_scaled | part_01_shape_I2_scaled | part_01_shape_I3_scaled | part_01_shape_I4_scaled | part_01_shape_I5_scaled | part_01_shape_I6_scaled | part_01_shape_M000 | part_01_shape_E3_E1 | part_01_shape_E2_E1 | part_01_shape_E3_E2 | part_01_shape_sqrt_E1 | part_01_shape_sqrt_E2 | part_01_shape_sqrt_E3 | part_01_density_O3 | part_01_density_O4 | part_01_density_O5 | part_01_density_FL | part_01_density_O3_norm | part_01_density_O4_norm | part_01_density_O5_norm | part_01_density_FL_norm | part_01_density_I1 | part_01_density_I2 | part_01_density_I3 | part_01_density_I4 | part_01_density_I5 | part_01_density_I6 | part_01_density_I1_norm | part_01_density_I2_norm | part_01_density_I3_norm | part_01_density_I4_norm | part_01_density_I5_norm | part_01_density_I6_norm | part_01_density_I1_scaled | part_01_density_I2_scaled | part_01_density_I3_scaled | part_01_density_I4_scaled | part_01_density_I5_scaled | part_01_density_I6_scaled | part_01_density_M000 | part_01_density_E3_E1 | part_01_density_E2_E1 | part_01_density_E3_E2 | part_01_density_sqrt_E1 | part_01_density_sqrt_E2 | part_01_density_sqrt_E3 | part_02_blob_electron_sum | part_02_blob_volume_sum | part_02_blob_parts | part_02_shape_O3 | part_02_shape_O4 | part_02_shape_O5 | part_02_shape_FL | part_02_shape_O3_norm | part_02_shape_O4_norm | part_02_shape_O5_norm | part_02_shape_FL_norm | part_02_shape_I1 | part_02_shape_I2 | part_02_shape_I3 | part_02_shape_I4 | part_02_shape_I5 | part_02_shape_I6 | part_02_shape_I1_norm | part_02_shape_I2_norm | part_02_shape_I3_norm | part_02_shape_I4_norm | part_02_shape_I5_norm | part_02_shape_I6_norm | part_02_shape_I1_scaled | part_02_shape_I2_scaled | part_02_shape_I3_scaled | part_02_shape_I4_scaled | part_02_shape_I5_scaled | part_02_shape_I6_scaled | part_02_shape_M000 | part_02_shape_E3_E1 | part_02_shape_E2_E1 | part_02_shape_E3_E2 | part_02_shape_sqrt_E1 | part_02_shape_sqrt_E2 | part_02_shape_sqrt_E3 | part_02_density_O3 | part_02_density_O4 | part_02_density_O5 | part_02_density_FL | part_02_density_O3_norm | part_02_density_O4_norm | part_02_density_O5_norm | part_02_density_FL_norm | part_02_density_I1 | part_02_density_I2 | part_02_density_I3 | part_02_density_I4 | part_02_density_I5 | part_02_density_I6 | part_02_density_I1_norm | part_02_density_I2_norm | part_02_density_I3_norm | part_02_density_I4_norm | part_02_density_I5_norm | part_02_density_I6_norm | part_02_density_I1_scaled | part_02_density_I2_scaled | part_02_density_I3_scaled | part_02_density_I4_scaled | part_02_density_I5_scaled | part_02_density_I6_scaled | part_02_density_M000 | part_02_density_E3_E1 | part_02_density_E2_E1 | part_02_density_E3_E2 | part_02_density_sqrt_E1 | part_02_density_sqrt_E2 | part_02_density_sqrt_E3 | part_03_blob_electron_sum | part_03_blob_volume_sum | part_03_blob_parts | part_03_shape_O3 | part_03_shape_O4 | part_03_shape_O5 | part_03_shape_FL | part_03_shape_O3_norm | part_03_shape_O4_norm | part_03_shape_O5_norm | part_03_shape_FL_norm | part_03_shape_I1 | part_03_shape_I2 | part_03_shape_I3 | part_03_shape_I4 | part_03_shape_I5 | part_03_shape_I6 | part_03_shape_I1_norm | part_03_shape_I2_norm | part_03_shape_I3_norm | part_03_shape_I4_norm | part_03_shape_I5_norm | part_03_shape_I6_norm | part_03_shape_I1_scaled | part_03_shape_I2_scaled | part_03_shape_I3_scaled | part_03_shape_I4_scaled | part_03_shape_I5_scaled | part_03_shape_I6_scaled | part_03_shape_M000 | part_03_shape_E3_E1 | part_03_shape_E2_E1 | part_03_shape_E3_E2 | part_03_shape_sqrt_E1 | part_03_shape_sqrt_E2 | part_03_shape_sqrt_E3 | part_03_density_O3 | part_03_density_O4 | part_03_density_O5 | part_03_density_FL | part_03_density_O3_norm | part_03_density_O4_norm | part_03_density_O5_norm | part_03_density_FL_norm | part_03_density_I1 | part_03_density_I2 | part_03_density_I3 | part_03_density_I4 | part_03_density_I5 | part_03_density_I6 | part_03_density_I1_norm | part_03_density_I2_norm | part_03_density_I3_norm | part_03_density_I4_norm | part_03_density_I5_norm | part_03_density_I6_norm | part_03_density_I1_scaled | part_03_density_I2_scaled | part_03_density_I3_scaled | part_03_density_I4_scaled | part_03_density_I5_scaled | part_03_density_I6_scaled | part_03_density_M000 | part_03_density_E3_E1 | part_03_density_E2_E1 | part_03_density_E3_E2 | part_03_density_sqrt_E1 | part_03_density_sqrt_E2 | part_03_density_sqrt_E3 | part_04_blob_electron_sum | part_04_blob_volume_sum | part_04_blob_parts | part_04_shape_O3 | part_04_shape_O4 | part_04_shape_O5 | part_04_shape_FL | part_04_shape_O3_norm | part_04_shape_O4_norm | part_04_shape_O5_norm | part_04_shape_FL_norm | part_04_shape_I1 | part_04_shape_I2 | part_04_shape_I3 | part_04_shape_I4 | part_04_shape_I5 | part_04_shape_I6 | part_04_shape_I1_norm | part_04_shape_I2_norm | part_04_shape_I3_norm | part_04_shape_I4_norm | part_04_shape_I5_norm | part_04_shape_I6_norm | part_04_shape_I1_scaled | part_04_shape_I2_scaled | part_04_shape_I3_scaled | part_04_shape_I4_scaled | part_04_shape_I5_scaled | part_04_shape_I6_scaled | part_04_shape_M000 | part_04_shape_E3_E1 | part_04_shape_E2_E1 | part_04_shape_E3_E2 | part_04_shape_sqrt_E1 | part_04_shape_sqrt_E2 | part_04_shape_sqrt_E3 | part_04_density_O3 | part_04_density_O4 | part_04_density_O5 | part_04_density_FL | part_04_density_O3_norm | part_04_density_O4_norm | part_04_density_O5_norm | part_04_density_FL_norm | part_04_density_I1 | part_04_density_I2 | part_04_density_I3 | part_04_density_I4 | part_04_density_I5 | part_04_density_I6 | part_04_density_I1_norm | part_04_density_I2_norm | part_04_density_I3_norm | part_04_density_I4_norm | part_04_density_I5_norm | part_04_density_I6_norm | part_04_density_I1_scaled | part_04_density_I2_scaled | part_04_density_I3_scaled | part_04_density_I4_scaled | part_04_density_I5_scaled | part_04_density_I6_scaled | part_04_density_M000 | part_04_density_E3_E1 | part_04_density_E2_E1 | part_04_density_E3_E2 | part_04_density_sqrt_E1 | part_04_density_sqrt_E2 | part_04_density_sqrt_E3 | part_05_blob_electron_sum | part_05_blob_volume_sum | part_05_blob_parts | part_05_shape_O3 | part_05_shape_O4 | part_05_shape_O5 | part_05_shape_FL | part_05_shape_O3_norm | part_05_shape_O4_norm | part_05_shape_O5_norm | part_05_shape_FL_norm | part_05_shape_I1 | part_05_shape_I2 | part_05_shape_I3 | part_05_shape_I4 | part_05_shape_I5 | part_05_shape_I6 | part_05_shape_I1_norm | part_05_shape_I2_norm | part_05_shape_I3_norm | part_05_shape_I4_norm | part_05_shape_I5_norm | part_05_shape_I6_norm | part_05_shape_I1_scaled | part_05_shape_I2_scaled | part_05_shape_I3_scaled | part_05_shape_I4_scaled | part_05_shape_I5_scaled | part_05_shape_I6_scaled | part_05_shape_M000 | part_05_shape_E3_E1 | part_05_shape_E2_E1 | part_05_shape_E3_E2 | part_05_shape_sqrt_E1 | part_05_shape_sqrt_E2 | part_05_shape_sqrt_E3 | part_05_density_O3 | part_05_density_O4 | part_05_density_O5 | part_05_density_FL | part_05_density_O3_norm | part_05_density_O4_norm | part_05_density_O5_norm | part_05_density_FL_norm | part_05_density_I1 | part_05_density_I2 | part_05_density_I3 | part_05_density_I4 | part_05_density_I5 | part_05_density_I6 | part_05_density_I1_norm | part_05_density_I2_norm | part_05_density_I3_norm | part_05_density_I4_norm | part_05_density_I5_norm | part_05_density_I6_norm | part_05_density_I1_scaled | part_05_density_I2_scaled | part_05_density_I3_scaled | part_05_density_I4_scaled | part_05_density_I5_scaled | part_05_density_I6_scaled | part_05_density_M000 | part_05_density_E3_E1 | part_05_density_E2_E1 | part_05_density_E3_E2 | part_05_density_sqrt_E1 | part_05_density_sqrt_E2 | part_05_density_sqrt_E3 | part_06_blob_electron_sum | part_06_blob_volume_sum | part_06_blob_parts | part_06_shape_O3 | part_06_shape_O4 | part_06_shape_O5 | part_06_shape_FL | part_06_shape_O3_norm | part_06_shape_O4_norm | part_06_shape_O5_norm | part_06_shape_FL_norm | part_06_shape_I1 | part_06_shape_I2 | part_06_shape_I3 | part_06_shape_I4 | part_06_shape_I5 | part_06_shape_I6 | part_06_shape_I1_norm | part_06_shape_I2_norm | part_06_shape_I3_norm | part_06_shape_I4_norm | part_06_shape_I5_norm | part_06_shape_I6_norm | part_06_shape_I1_scaled | part_06_shape_I2_scaled | part_06_shape_I3_scaled | part_06_shape_I4_scaled | part_06_shape_I5_scaled | part_06_shape_I6_scaled | part_06_shape_M000 | part_06_shape_E3_E1 | part_06_shape_E2_E1 | part_06_shape_E3_E2 | part_06_shape_sqrt_E1 | part_06_shape_sqrt_E2 | part_06_shape_sqrt_E3 | part_06_density_O3 | part_06_density_O4 | part_06_density_O5 | part_06_density_FL | part_06_density_O3_norm | part_06_density_O4_norm | part_06_density_O5_norm | part_06_density_FL_norm | part_06_density_I1 | part_06_density_I2 | part_06_density_I3 | part_06_density_I4 | part_06_density_I5 | part_06_density_I6 | part_06_density_I1_norm | part_06_density_I2_norm | part_06_density_I3_norm | part_06_density_I4_norm | part_06_density_I5_norm | part_06_density_I6_norm | part_06_density_I1_scaled | part_06_density_I2_scaled | part_06_density_I3_scaled | part_06_density_I4_scaled | part_06_density_I5_scaled | part_06_density_I6_scaled | part_06_density_M000 | part_06_density_E3_E1 | part_06_density_E2_E1 | part_06_density_E3_E2 | part_06_density_sqrt_E1 | part_06_density_sqrt_E2 | part_06_density_sqrt_E3 | part_07_blob_electron_sum | part_07_blob_volume_sum | part_07_blob_parts | part_07_shape_O3 | part_07_shape_O4 | part_07_shape_O5 | part_07_shape_FL | part_07_shape_O3_norm | part_07_shape_O4_norm | part_07_shape_O5_norm | part_07_shape_FL_norm | part_07_shape_I1 | part_07_shape_I2 | part_07_shape_I3 | part_07_shape_I4 | part_07_shape_I5 | part_07_shape_I6 | part_07_shape_I1_norm | part_07_shape_I2_norm | part_07_shape_I3_norm | part_07_shape_I4_norm | part_07_shape_I5_norm | part_07_shape_I6_norm | part_07_shape_I1_scaled | part_07_shape_I2_scaled | part_07_shape_I3_scaled | part_07_shape_I4_scaled | part_07_shape_I5_scaled | part_07_shape_I6_scaled | part_07_shape_M000 | part_07_shape_E3_E1 | part_07_shape_E2_E1 | part_07_shape_E3_E2 | part_07_shape_sqrt_E1 | part_07_shape_sqrt_E2 | part_07_shape_sqrt_E3 | part_07_density_O3 | part_07_density_O4 | part_07_density_O5 | part_07_density_FL | part_07_density_O3_norm | part_07_density_O4_norm | part_07_density_O5_norm | part_07_density_FL_norm | part_07_density_I1 | part_07_density_I2 | part_07_density_I3 | part_07_density_I4 | part_07_density_I5 | part_07_density_I6 | part_07_density_I1_norm | part_07_density_I2_norm | part_07_density_I3_norm | part_07_density_I4_norm | part_07_density_I5_norm | part_07_density_I6_norm | part_07_density_I1_scaled | part_07_density_I2_scaled | part_07_density_I3_scaled | part_07_density_I4_scaled | part_07_density_I5_scaled | part_07_density_I6_scaled | part_07_density_M000 | part_07_density_E3_E1 | part_07_density_E2_E1 | part_07_density_E3_E2 | part_07_density_sqrt_E1 | part_07_density_sqrt_E2 | part_07_density_sqrt_E3 | part_08_blob_electron_sum | part_08_blob_volume_sum | part_08_blob_parts | part_08_shape_O3 | part_08_shape_O4 | part_08_shape_O5 | part_08_shape_FL | part_08_shape_O3_norm | part_08_shape_O4_norm | part_08_shape_O5_norm | part_08_shape_FL_norm | part_08_shape_I1 | part_08_shape_I2 | part_08_shape_I3 | part_08_shape_I4 | part_08_shape_I5 | part_08_shape_I6 | part_08_shape_I1_norm | part_08_shape_I2_norm | part_08_shape_I3_norm | part_08_shape_I4_norm | part_08_shape_I5_norm | part_08_shape_I6_norm | part_08_shape_I1_scaled | part_08_shape_I2_scaled | part_08_shape_I3_scaled | part_08_shape_I4_scaled | part_08_shape_I5_scaled | part_08_shape_I6_scaled | part_08_shape_M000 | part_08_shape_E3_E1 | part_08_shape_E2_E1 | part_08_shape_E3_E2 | part_08_shape_sqrt_E1 | part_08_shape_sqrt_E2 | part_08_shape_sqrt_E3 | part_08_density_O3 | part_08_density_O4 | part_08_density_O5 | part_08_density_FL | part_08_density_O3_norm | part_08_density_O4_norm | part_08_density_O5_norm | part_08_density_FL_norm | part_08_density_I1 | part_08_density_I2 | part_08_density_I3 | part_08_density_I4 | part_08_density_I5 | part_08_density_I6 | part_08_density_I1_norm | part_08_density_I2_norm | part_08_density_I3_norm | part_08_density_I4_norm | part_08_density_I5_norm | part_08_density_I6_norm | part_08_density_I1_scaled | part_08_density_I2_scaled | part_08_density_I3_scaled | part_08_density_I4_scaled | part_08_density_I5_scaled | part_08_density_I6_scaled | part_08_density_M000 | part_08_density_E3_E1 | part_08_density_E2_E1 | part_08_density_E3_E2 | part_08_density_sqrt_E1 | part_08_density_sqrt_E2 | part_08_density_sqrt_E3 | part_09_blob_electron_sum | part_09_blob_volume_sum | part_09_blob_parts | part_09_shape_O3 | part_09_shape_O4 | part_09_shape_O5 | part_09_shape_FL | part_09_shape_O3_norm | part_09_shape_O4_norm | part_09_shape_O5_norm | part_09_shape_FL_norm | part_09_shape_I1 | part_09_shape_I2 | part_09_shape_I3 | part_09_shape_I4 | part_09_shape_I5 | part_09_shape_I6 | part_09_shape_I1_norm | part_09_shape_I2_norm | part_09_shape_I3_norm | part_09_shape_I4_norm | part_09_shape_I5_norm | part_09_shape_I6_norm | part_09_shape_I1_scaled | part_09_shape_I2_scaled | part_09_shape_I3_scaled | part_09_shape_I4_scaled | part_09_shape_I5_scaled | part_09_shape_I6_scaled | part_09_shape_M000 | part_09_shape_E3_E1 | part_09_shape_E2_E1 | part_09_shape_E3_E2 | part_09_shape_sqrt_E1 | part_09_shape_sqrt_E2 | part_09_shape_sqrt_E3 | part_09_density_O3 | part_09_density_O4 | part_09_density_O5 | part_09_density_FL | part_09_density_O3_norm | part_09_density_O4_norm | part_09_density_O5_norm | part_09_density_FL_norm | part_09_density_I1 | part_09_density_I2 | part_09_density_I3 | part_09_density_I4 | part_09_density_I5 | part_09_density_I6 | part_09_density_I1_norm | part_09_density_I2_norm | part_09_density_I3_norm | part_09_density_I4_norm | part_09_density_I5_norm | part_09_density_I6_norm | part_09_density_I1_scaled | part_09_density_I2_scaled | part_09_density_I3_scaled | part_09_density_I4_scaled | part_09_density_I5_scaled | part_09_density_I6_scaled | part_09_density_M000 | part_09_density_E3_E1 | part_09_density_E2_E1 | part_09_density_E3_E2 | part_09_density_sqrt_E1 | part_09_density_sqrt_E2 | part_09_density_sqrt_E3 | local_volume | local_electrons | local_mean | local_std | local_min | local_max | local_skewness | local_parts | fo_col | fc_col | weight_col | grid_space | solvent_radius | solvent_opening_radius | resolution_max_limit | resolution | TwoFoFc_mean | TwoFoFc_std | TwoFoFc_square_std | TwoFoFc_min | TwoFoFc_max | Fo_mean | Fo_std | Fo_square_std | Fo_min | Fo_max | FoFc_mean | FoFc_std | FoFc_square_std | FoFc_min | FoFc_max | Fc_mean | Fc_std | Fc_square_std | Fc_min | Fc_max | solvent_mask_count | void_mask_count | modeled_mask_count | solvent_ratio | TwoFoFc_bulk_mean | TwoFoFc_bulk_std | TwoFoFc_void_mean | TwoFoFc_void_std | TwoFoFc_modeled_mean | TwoFoFc_modeled_std | Fo_bulk_mean | Fo_bulk_std | Fo_void_mean | Fo_void_std | Fo_modeled_mean | Fo_modeled_std | FoFc_bulk_mean | FoFc_bulk_std | FoFc_void_mean | FoFc_void_std | FoFc_modeled_mean | FoFc_modeled_std | Fc_bulk_mean | Fc_bulk_std | Fc_void_mean | Fc_void_std | Fc_modeled_mean | Fc_modeled_std | TwoFoFc_void_fit_binormal_mean1 | TwoFoFc_void_fit_binormal_std1 | TwoFoFc_void_fit_binormal_mean2 | TwoFoFc_void_fit_binormal_std2 | TwoFoFc_void_fit_binormal_scale | TwoFoFc_solvent_fit_normal_mean | TwoFoFc_solvent_fit_normal_std | part_step_FoFc_std_min | part_step_FoFc_std_max | part_step_FoFc_std_step | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 110l BME 901 A: 1 | 3ag4 : 16 | SO4 :1183 | 301 : 430 | A :8630 | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : NA | Min. : 1.00 | Min. : 1.00 | Min. : 0.00 | Min. : 3.0 | Min. : 0.00 | Min. : 0.000 | Min. : 0.00 | Min. : 0.000 | Min. :0.0000 | Min. : 1.00 | Min. : 3.0 | Min. : 0.00 | Min. : 0.000 | Min. : 0.000 | Min. :0.0000 | Min. : 0.000 | Min. : 0.00 | Min. :0.0000 | Min. : 24253 | Min. :1.952e+08 | Min. :5.160e+11 | Min. :3.330e+06 | Min. :0.2312 | Min. :0.0178 | Min. :0.0005 | Min. :0.0000 | Min. :6.875e+05 | Min. :1.246e+11 | Min. :9.688e+10 | Min. :1.335e+06 | Min. :4.728e+03 | Min. :5.618e+09 | Min. : 0.0637 | Min. : 0.0011 | Min. : 0.0008 | Min. :0.0000 | Min. :0.0000 | Min. : 0.0049 | Min. :0.0001 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0e+00 | Min. :0 | Min. : 1023 | Min. :0.0005 | Min. :0.0142 | Min. :0.0042 | Min. : 2.930 | Min. : 1.793 | Min. : 0.498 | Min. : 1527 | Min. :7.096e+05 | Min. :1.011e+08 | Min. :9.595e+05 | Min. :0.0593 | Min. :0.0012 | Min. :0.0000 | Min. : 0.0000 | Min. :6.548e+04 | Min. :9.611e+08 | Min. :1.275e+09 | Min. :4.130e+05 | Min. :2.366e+04 | Min. :3.899e+07 | Min. : 0.0048 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0001 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. : 47 | Min. :0.0007 | Min. :0.0133 | Min. :0.0052 | Min. : 2.499 | Min. : 1.769 | Min. : 0.4972 | Min. : 0.000 | Min. : 0.00 | Min. :0.0000 | Min. : 24186 | Min. :1.947e+08 | Min. :5.217e+11 | Min. :2.023e+06 | Min. :0.2313 | Min. :0.0178 | Min. :0.0005 | Min. :0.0000 | Min. :6.807e+05 | Min. :1.231e+11 | Min. :9.354e+10 | Min. :8.184e+05 | Min. :3.360e+03 | Min. :5.502e+09 | Min. : 0.0637 | Min. : 0.0011 | Min. : 0.0008 | Min. :0.0000 | Min. :0.0000 | Min. : 0.0049 | Min. :0.0001 | Min. :0.0000 | Min. :0.000 | Min. :0.0000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.0005 | Min. :0.0127 | Min. :0.0044 | Min. : 2.898 | Min. : 1.947 | Min. : 0.4978 | Min. : 1038 | Min. :3.280e+05 | Min. :3.182e+07 | Min. :3.230e+05 | Min. :0.0592 | Min. :0.0012 | Min. :0.0000 | Min. : 0.0000 | Min. :3.748e+04 | Min. :3.151e+08 | Min. :4.195e+08 | Min. :1.414e+05 | Min. :1.786e+04 | Min. :1.512e+07 | Min. : 0.0048 | Min. : 0.0000 | Min. : 0.000 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0001 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. : 37.76 | Min. :0.0007 | Min. :0.0122 | Min. :0.0054 | Min. : 2.496 | Min. : 1.877 | Min. : 0.4971 | Min. : 0.00 | Min. : 0.000 | Min. :0.0000 | Min. : 24331 | Min. :1.955e+08 | Min. :5.180e+11 | Min. :2.142e+06 | Min. :0.2312 | Min. :0.0178 | Min. :0.0005 | Min. : 0.0000 | Min. :6.937e+05 | Min. :1.254e+11 | Min. :1.013e+11 | Min. :8.662e+05 | Min. :3.121e+03 | Min. :5.751e+09 | Min. : 0.0637 | Min. : 0.0011 | Min. : 0.0008 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0049 | Min. :0.0001 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0 | Min. : 1023 | Min. :0.0006 | Min. :0.0138 | Min. :0.0047 | Min. : 2.917 | Min. : 1.914 | Min. : 0.4957 | Min. : 4269 | Min. :5.654e+06 | Min. :2.385e+09 | Min. :1.443e+06 | Min. :0.0588 | Min. :0.0011 | Min. :0.0000 | Min. : 0.0000 | Min. :1.324e+05 | Min. :3.851e+09 | Min. :4.897e+09 | Min. :6.988e+05 | Min. :1.294e+04 | Min. :2.080e+08 | Min. : 0.0047 | Min. : 0.0000 | Min. : 0.000 | Min. : 0.0000 | Min. : 0.0000 | Min. : 0.0001 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. :0.0000 | Min. : 177.5 | Min. :0.0008 | Min. :0.0138 | Min. :0.0058 | Min. : 2.487 | Min. : 1.857 | Min. : 0.4957 | Min. : 0.0 | Min. : 0.00 | Min. :0.0000 | Min. : 24164 | Min. :1.941e+08 | Min. :5.143e+11 | Min. :6.027e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.790e+05 | Min. :1.225e+11 | Min. :9.315e+10 | Min. :2.433e+06 | Min. :1.301e+03 | Min. :5.484e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.00 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.001 | Min. :0.012 | Min. :0.005 | Min. : 2.884 | Min. : 1.817 | Min. : 0.493 | Min. : 4027 | Min. :5.262e+06 | Min. :2.243e+09 | Min. :1.389e+06 | Min. : 0.058 | Min. : 0.001 | Min. :0.000 | Min. : 0.000 | Min. :1.186e+05 | Min. :3.489e+09 | Min. :3.239e+09 | Min. :5.853e+05 | Min. :1.301e+04 | Min. :1.669e+08 | Min. : 0.005 | Min. : 0.000 | Min. : 0.00 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. : 0.000 | Min. :0.00 | Min. :0.000 | Min. :0.000 | Min. : 168 | Min. :0.001 | Min. :0.011 | Min. :0.006 | Min. : 2.473 | Min. : 1.773 | Min. : 0.494 | Min. : 0.000 | Min. : 0.0 | Min. :0.0000 | Min. : 24198 | Min. :1.946e+08 | Min. :5.198e+11 | Min. :7.913e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.817e+05 | Min. :1.231e+11 | Min. :9.400e+10 | Min. :3.183e+06 | Min. :3.774e+03 | Min. :5.528e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.001 | Min. :0.009 | Min. :0.010 | Min. : 2.869 | Min. : 1.644 | Min. : 0.496 | Min. : 6632 | Min. :1.333e+07 | Min. :7.807e+09 | Min. :1.426e+06 | Min. : 0.058 | Min. : 0.001 | Min. :0.000 | Min. : 0.000 | Min. :2.208e+05 | Min. :1.088e+10 | Min. :1.331e+10 | Min. :5.746e+05 | Min. :3.000e+00 | Min. :5.871e+08 | Min. : 0.005 | Min. : 0.000 | Min. : 0.00 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. : 260.4 | Min. :0.001 | Min. :0.008 | Min. :0.011 | Min. : 2.577 | Min. : 1.617 | Min. : 0.497 | Min. : 0.000 | Min. : 0.000 | Min. :0.00 | Min. : 24236 | Min. :1.956e+08 | Min. :5.224e+11 | Min. :4.696e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.861e+05 | Min. :1.254e+11 | Min. :9.477e+10 | Min. :1.895e+06 | Min. :5.507e+03 | Min. :5.553e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.001 | Min. :0.008 | Min. :0.011 | Min. : 2.866 | Min. : 2.056 | Min. : 0.496 | Min. : 6155 | Min. :1.161e+07 | Min. :6.600e+09 | Min. :8.006e+05 | Min. : 0.058 | Min. :0.001 | Min. :0.000 | Min. : 0.000 | Min. :1.955e+05 | Min. :9.552e+09 | Min. :8.451e+09 | Min. :3.227e+05 | Min. :8.210e+02 | Min. :4.207e+08 | Min. : 0.005 | Min. : 0.000 | Min. : 0.0 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. : 234.8 | Min. :0.001 | Min. :0.008 | Min. :0.013 | Min. : 2.538 | Min. : 1.980 | Min. : 0.496 | Min. : 0.00 | Min. : 0.00 | Min. :0.0000 | Min. : 24358 | Min. :1.971e+08 | Min. :5.177e+11 | Min. :7.396e+06 | Min. : 0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.850e+05 | Min. :1.250e+11 | Min. :9.408e+10 | Min. :2.975e+06 | Min. :4.763e+03 | Min. :5.566e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.00 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.001 | Min. :0.008 | Min. :0.012 | Min. : 2.853 | Min. : 2.037 | Min. : 0.496 | Min. : 6900 | Min. :1.522e+07 | Min. :1.075e+10 | Min. :2.231e+06 | Min. : 0.057 | Min. :0.001 | Min. :0.000 | Min. : 0.000 | Min. :2.044e+05 | Min. :1.033e+10 | Min. :1.034e+10 | Min. :8.939e+05 | Min. :2.507e+03 | Min. :5.106e+08 | Min. : 0.004 | Min. : 0.000 | Min. : 0.00 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.00 | Min. :0.000 | Min. : 292.1 | Min. :0.001 | Min. :0.007 | Min. :0.014 | Min. : 2.523 | Min. : 1.955 | Min. : 0.496 | Min. : 0.000 | Min. : 0.000 | Min. :0.0000 | Min. : 24313 | Min. :1.960e+08 | Min. :5.149e+11 | Min. :5.901e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.911e+05 | Min. :1.255e+11 | Min. :9.856e+10 | Min. :2.436e+06 | Min. :2.860e+03 | Min. :5.679e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.006 | Min. :0.007 | Min. :0.018 | Min. : 2.930 | Min. : 1.947 | Min. : 1.077 | Min. : 7722 | Min. :1.917e+07 | Min. :1.546e+10 | Min. :2.261e+06 | Min. :0.057 | Min. :0.001 | Min. :0.000 | Min. : 0.000 | Min. :2.348e+05 | Min. :1.442e+10 | Min. :1.161e+10 | Min. :9.168e+05 | Min. :6.445e+03 | Min. :6.453e+08 | Min. : 0.004 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 291.9 | Min. :0.005 | Min. :0.007 | Min. :0.018 | Min. : 2.610 | Min. : 1.921 | Min. : 1.063 | Min. : 0.000 | Min. : 0.000 | Min. :0.0000 | Min. : 24284 | Min. :1.955e+08 | Min. :5.167e+11 | Min. :4.143e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :6.883e+05 | Min. :1.246e+11 | Min. :9.780e+10 | Min. :1.767e+06 | Min. :5.470e+02 | Min. :5.625e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0 | Min. : 1023 | Min. :0.005 | Min. :0.010 | Min. :0.020 | Min. : 2.942 | Min. : 2.154 | Min. : 1.051 | Min. : 6023 | Min. :1.180e+07 | Min. :7.555e+09 | Min. :1.376e+06 | Min. :0.057 | Min. :0.001 | Min. :0.000 | Min. : 0.000 | Min. :1.750e+05 | Min. :7.599e+09 | Min. :7.022e+09 | Min. :5.570e+05 | Min. :8.525e+03 | Min. :3.736e+08 | Min. : 0.004 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.00 | Min. :0 | Min. : 256.5 | Min. :0.004 | Min. :0.010 | Min. :0.020 | Min. : 2.620 | Min. : 2.106 | Min. : 1.041 | Min. : 0.000 | Min. : 0.000 | Min. :0.0000 | Min. : 24584 | Min. :1.970e+08 | Min. :5.129e+11 | Min. :4.052e+06 | Min. :0.231 | Min. :0.018 | Min. :0.000 | Min. : 0.000 | Min. :7.117e+05 | Min. :1.303e+11 | Min. :1.047e+11 | Min. :1.669e+06 | Min. :3.899e+03 | Min. :5.953e+09 | Min. : 0.064 | Min. : 0.001 | Min. : 0.001 | Min. : 0.000 | Min. : 0.000 | Min. : 0.005 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.00 | Min. :0 | Min. : 1023 | Min. :0.004 | Min. :0.011 | Min. :0.025 | Min. : 2.949 | Min. : 2.144 | Min. : 1.060 | Min. : 7987 | Min. :2.102e+07 | Min. :1.388e+10 | Min. :1.586e+06 | Min. : 0.056 | Min. : 0.001 | Min. :0.000 | Min. : 0.000 | Min. :2.621e+05 | Min. :1.642e+10 | Min. :1.529e+10 | Min. :6.442e+05 | Min. :1.606e+04 | Min. :7.249e+08 | Min. : 0.004 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. : 0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. :0.000 | Min. : 297.4 | Min. :0.004 | Min. :0.010 | Min. :0.025 | Min. : 2.598 | Min. : 2.108 | Min. : 1.045 | Min. : 64.77 | Min. : 0.000 | Min. :0.00000 | Min. :0.0000 | Min. :0 | Min. : 0.000 | Min. :0.0000 | Min. :0.0000 | DELFWT:14132 | PHDELWT:14132 | Mode:logical | Min. :0.2 | Min. :1.9 | Min. :1.4 | Min. :2 | Min. :0.800 | Min. :-2.992e-06 | Min. :0.009962 | Min. :0.0003424 | Min. :-2.3692 | Min. : 0.2245 | Min. :-3.028e-06 | Min. :0.01847 | Min. :0.003589 | Min. :-3.3935 | Min. : 0.2999 | Min. :-2.206e-06 | Min. :0.009009 | Min. :0.0001201 | Min. :-26.24490 | Min. : 0.07625 | Min. :-7.867e-07 | Min. :0.005332 | Min. :0.000403 | Min. :-3.2550 | Min. : 0.2407 | Min. : 0 | Min. : 5472 | Min. : 15008 | Min. :0.0000 | Min. :-0.30666 | Min. :0.00930 | Min. :-0.2850280 | Min. :0.02783 | Min. :6.595e-05 | Min. :0.03485 | Min. :-0.08705 | Min. :0.01120 | Min. :-0.24222 | Min. :0.03827 | Min. :-0.003379 | Min. :0.05494 | Min. :-0.08982 | Min. :0.00893 | Min. :-0.095296 | Min. :0.01336 | Min. :-0.11559 | Min. :0.01705 | Min. :-0.21683 | Min. :0.00345 | Min. :-0.239831 | Min. :0.01529 | Min. :-0.005495 | Min. :0.02092 | Min. :-0.66520 | Min. :0.01075 | Min. :0.000e+00 | Min. :0.000e+00 | Min. :-11.2668 | Min. :-0.31511 | Min. :0.00918 | Min. :2.5 | Min. :7.1 | Min. :0.5 | |
| 111l CL 173 A : 1 | 3abl : 15 | ZN : 849 | 1 : 424 | B :2905 | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: NA | 1st Qu.: 1.00 | 1st Qu.: 1.00 | 1st Qu.: 1.00 | 1st Qu.: 30.0 | 1st Qu.: 30.00 | 1st Qu.: 0.000 | 1st Qu.: 0.00 | 1st Qu.: 0.000 | 1st Qu.:0.0000 | 1st Qu.: 1.00 | 1st Qu.: 30.0 | 1st Qu.: 0.00 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.:0.0000 | 1st Qu.: 9.469 | 1st Qu.: 14.44 | 1st Qu.:1.0000 | 1st Qu.: 106958 | 1st Qu.:2.876e+09 | 1st Qu.:2.121e+13 | 1st Qu.:4.427e+10 | 1st Qu.:0.3173 | 1st Qu.:0.0275 | 1st Qu.:0.0007 | 1st Qu.:0.0021 | 1st Qu.:8.630e+06 | 1st Qu.:1.181e+13 | 1st Qu.:2.797e+13 | 1st Qu.:2.340e+10 | 1st Qu.:5.138e+09 | 1st Qu.:4.161e+11 | 1st Qu.: 0.1478 | 1st Qu.: 0.0037 | 1st Qu.: 0.0082 | 1st Qu.:0.0011 | 1st Qu.:0.0002 | 1st Qu.: 0.0202 | 1st Qu.:0.0007 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0e+00 | 1st Qu.:0 | 1st Qu.: 1900 | 1st Qu.:0.0715 | 1st Qu.:0.1974 | 1st Qu.:0.3046 | 1st Qu.: 5.594 | 1st Qu.: 3.546 | 1st Qu.: 2.654 | 1st Qu.: 62839 | 1st Qu.:1.048e+09 | 1st Qu.:4.744e+12 | 1st Qu.:1.340e+10 | 1st Qu.:0.3736 | 1st Qu.:0.0376 | 1st Qu.:0.0011 | 1st Qu.: 0.0033 | 1st Qu.:4.534e+06 | 1st Qu.:3.276e+12 | 1st Qu.:7.603e+12 | 1st Qu.:7.514e+09 | 1st Qu.:2.054e+09 | 1st Qu.:1.222e+11 | 1st Qu.: 0.2201 | 1st Qu.: 0.0084 | 1st Qu.: 0.0169 | 1st Qu.: 0.0020 | 1st Qu.: 0.0006 | 1st Qu.: 0.0343 | 1st Qu.:0.0014 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.: 1263 | 1st Qu.:0.0678 | 1st Qu.:0.1912 | 1st Qu.:0.2997 | 1st Qu.: 5.086 | 1st Qu.: 3.263 | 1st Qu.: 2.4659 | 1st Qu.: 8.581 | 1st Qu.: 12.77 | 1st Qu.:1.0000 | 1st Qu.: 99934 | 1st Qu.:2.480e+09 | 1st Qu.:1.702e+13 | 1st Qu.:3.533e+10 | 1st Qu.:0.3104 | 1st Qu.:0.0267 | 1st Qu.:0.0007 | 1st Qu.:0.0019 | 1st Qu.:7.759e+06 | 1st Qu.:9.470e+12 | 1st Qu.:2.146e+13 | 1st Qu.:1.857e+10 | 1st Qu.:3.874e+09 | 1st Qu.:3.399e+11 | 1st Qu.: 0.1405 | 1st Qu.: 0.0034 | 1st Qu.: 0.0072 | 1st Qu.:0.0010 | 1st Qu.:0.0002 | 1st Qu.: 0.0184 | 1st Qu.:0.0007 | 1st Qu.:0.0000 | 1st Qu.:0.000 | 1st Qu.:0.0000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1829 | 1st Qu.:0.0687 | 1st Qu.:0.1929 | 1st Qu.:0.2994 | 1st Qu.: 5.444 | 1st Qu.: 3.499 | 1st Qu.: 2.6289 | 1st Qu.: 61609 | 1st Qu.:1.002e+09 | 1st Qu.:4.474e+12 | 1st Qu.:1.122e+10 | 1st Qu.:0.3578 | 1st Qu.:0.0353 | 1st Qu.:0.0010 | 1st Qu.: 0.0027 | 1st Qu.:4.245e+06 | 1st Qu.:2.887e+12 | 1st Qu.:6.328e+12 | 1st Qu.:6.274e+09 | 1st Qu.:1.645e+09 | 1st Qu.:1.122e+11 | 1st Qu.: 0.1991 | 1st Qu.: 0.0072 | 1st Qu.: 0.014 | 1st Qu.: 0.0015 | 1st Qu.: 0.0004 | 1st Qu.: 0.0295 | 1st Qu.:0.0013 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.: 1279.76 | 1st Qu.:0.0653 | 1st Qu.:0.1865 | 1st Qu.:0.2938 | 1st Qu.: 4.912 | 1st Qu.: 3.223 | 1st Qu.: 2.4489 | 1st Qu.: 5.98 | 1st Qu.: 9.488 | 1st Qu.:1.0000 | 1st Qu.: 87509 | 1st Qu.:1.981e+09 | 1st Qu.:1.221e+13 | 1st Qu.:2.353e+10 | 1st Qu.:0.2974 | 1st Qu.:0.0255 | 1st Qu.:0.0006 | 1st Qu.: 0.0016 | 1st Qu.:6.300e+06 | 1st Qu.:6.696e+12 | 1st Qu.:1.390e+13 | 1st Qu.:1.204e+10 | 1st Qu.:2.229e+09 | 1st Qu.:2.418e+11 | 1st Qu.: 0.1256 | 1st Qu.: 0.0030 | 1st Qu.: 0.0053 | 1st Qu.: 0.0008 | 1st Qu.: 0.0001 | 1st Qu.: 0.0154 | 1st Qu.:0.0007 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0 | 1st Qu.: 1721 | 1st Qu.:0.0625 | 1st Qu.:0.1858 | 1st Qu.:0.2851 | 1st Qu.: 5.152 | 1st Qu.: 3.424 | 1st Qu.: 2.6169 | 1st Qu.: 60814 | 1st Qu.:9.935e+08 | 1st Qu.:4.544e+12 | 1st Qu.:8.991e+09 | 1st Qu.:0.3269 | 1st Qu.:0.0304 | 1st Qu.:0.0008 | 1st Qu.: 0.0017 | 1st Qu.:3.855e+06 | 1st Qu.:2.554e+12 | 1st Qu.:4.996e+12 | 1st Qu.:4.610e+09 | 1st Qu.:1.031e+09 | 1st Qu.:9.700e+10 | 1st Qu.: 0.1632 | 1st Qu.: 0.0050 | 1st Qu.: 0.009 | 1st Qu.: 0.0009 | 1st Qu.: 0.0002 | 1st Qu.: 0.0213 | 1st Qu.:0.0011 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.:0.0000 | 1st Qu.: 1345.6 | 1st Qu.:0.0602 | 1st Qu.:0.1798 | 1st Qu.:0.2815 | 1st Qu.: 4.652 | 1st Qu.: 3.168 | 1st Qu.: 2.4482 | 1st Qu.: 0.0 | 1st Qu.: 0.00 | 1st Qu.:0.0000 | 1st Qu.: 80446 | 1st Qu.:1.677e+09 | 1st Qu.:9.703e+12 | 1st Qu.:1.576e+10 | 1st Qu.:0.286 | 1st Qu.:0.024 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:5.225e+06 | 1st Qu.:4.915e+12 | 1st Qu.:9.243e+12 | 1st Qu.:7.840e+09 | 1st Qu.:1.139e+09 | 1st Qu.:1.751e+11 | 1st Qu.: 0.113 | 1st Qu.: 0.003 | 1st Qu.: 0.004 | 1st Qu.: 0.001 | 1st Qu.: 0.000 | 1st Qu.: 0.013 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.00 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1641 | 1st Qu.:0.058 | 1st Qu.:0.178 | 1st Qu.:0.276 | 1st Qu.: 4.844 | 1st Qu.: 3.364 | 1st Qu.: 2.599 | 1st Qu.: 60306 | 1st Qu.:9.973e+08 | 1st Qu.:4.631e+12 | 1st Qu.:6.872e+09 | 1st Qu.: 0.297 | 1st Qu.: 0.025 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:3.494e+06 | 1st Qu.:2.266e+12 | 1st Qu.:3.813e+12 | 1st Qu.:3.509e+09 | 1st Qu.:5.793e+08 | 1st Qu.:8.407e+10 | 1st Qu.: 0.131 | 1st Qu.: 0.003 | 1st Qu.: 0.01 | 1st Qu.: 0.001 | 1st Qu.: 0.000 | 1st Qu.: 0.016 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:0.00 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.: 1421 | 1st Qu.:0.057 | 1st Qu.:0.173 | 1st Qu.:0.273 | 1st Qu.: 4.382 | 1st Qu.: 3.117 | 1st Qu.: 2.435 | 1st Qu.: 0.000 | 1st Qu.: 0.0 | 1st Qu.:0.0000 | 1st Qu.: 71079 | 1st Qu.:1.326e+09 | 1st Qu.:6.878e+12 | 1st Qu.:1.046e+10 | 1st Qu.:0.279 | 1st Qu.:0.024 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:4.357e+06 | 1st Qu.:3.416e+12 | 1st Qu.:6.267e+12 | 1st Qu.:4.954e+09 | 1st Qu.:6.858e+08 | 1st Qu.:1.308e+11 | 1st Qu.: 0.105 | 1st Qu.: 0.002 | 1st Qu.: 0.003 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.011 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1532 | 1st Qu.:0.055 | 1st Qu.:0.174 | 1st Qu.:0.267 | 1st Qu.: 4.606 | 1st Qu.: 3.294 | 1st Qu.: 2.562 | 1st Qu.: 59308 | 1st Qu.:9.687e+08 | 1st Qu.:4.582e+12 | 1st Qu.:5.444e+09 | 1st Qu.: 0.275 | 1st Qu.: 0.022 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:3.176e+06 | 1st Qu.:1.856e+12 | 1st Qu.:2.981e+12 | 1st Qu.:2.664e+09 | 1st Qu.:3.907e+08 | 1st Qu.:7.490e+10 | 1st Qu.: 0.111 | 1st Qu.: 0.002 | 1st Qu.: 0.00 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.012 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.: 1439.6 | 1st Qu.:0.054 | 1st Qu.:0.168 | 1st Qu.:0.265 | 1st Qu.: 4.201 | 1st Qu.: 3.066 | 1st Qu.: 2.413 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.:0.00 | 1st Qu.: 63638 | 1st Qu.:1.119e+09 | 1st Qu.:5.454e+12 | 1st Qu.:7.214e+09 | 1st Qu.:0.273 | 1st Qu.:0.023 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:3.620e+06 | 1st Qu.:2.433e+12 | 1st Qu.:4.051e+12 | 1st Qu.:3.319e+09 | 1st Qu.:3.608e+08 | 1st Qu.:9.492e+10 | 1st Qu.: 0.099 | 1st Qu.: 0.002 | 1st Qu.: 0.003 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.010 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1461 | 1st Qu.:0.054 | 1st Qu.:0.169 | 1st Qu.:0.273 | 1st Qu.: 4.408 | 1st Qu.: 3.226 | 1st Qu.: 2.530 | 1st Qu.: 58067 | 1st Qu.:9.551e+08 | 1st Qu.:4.472e+12 | 1st Qu.:4.431e+09 | 1st Qu.: 0.253 | 1st Qu.:0.019 | 1st Qu.:0.000 | 1st Qu.: 0.001 | 1st Qu.:2.854e+06 | 1st Qu.:1.644e+12 | 1st Qu.:2.343e+12 | 1st Qu.:2.080e+09 | 1st Qu.:2.396e+08 | 1st Qu.:6.389e+10 | 1st Qu.: 0.094 | 1st Qu.: 0.002 | 1st Qu.: 0.0 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.009 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.: 1473.5 | 1st Qu.:0.053 | 1st Qu.:0.163 | 1st Qu.:0.271 | 1st Qu.: 4.032 | 1st Qu.: 3.000 | 1st Qu.: 2.393 | 1st Qu.: 0.00 | 1st Qu.: 0.00 | 1st Qu.:0.0000 | 1st Qu.: 57285 | 1st Qu.:9.262e+08 | 1st Qu.:4.274e+12 | 1st Qu.:4.645e+09 | 1st Qu.: 0.266 | 1st Qu.:0.022 | 1st Qu.:0.001 | 1st Qu.: 0.001 | 1st Qu.:2.981e+06 | 1st Qu.:1.764e+12 | 1st Qu.:2.516e+12 | 1st Qu.:2.130e+09 | 1st Qu.:2.076e+08 | 1st Qu.:6.809e+10 | 1st Qu.: 0.093 | 1st Qu.: 0.002 | 1st Qu.: 0.002 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.009 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.00 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1401 | 1st Qu.:0.056 | 1st Qu.:0.166 | 1st Qu.:0.287 | 1st Qu.: 4.190 | 1st Qu.: 3.164 | 1st Qu.: 2.517 | 1st Qu.: 56014 | 1st Qu.:9.081e+08 | 1st Qu.:4.089e+12 | 1st Qu.:3.213e+09 | 1st Qu.: 0.234 | 1st Qu.:0.017 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:2.507e+06 | 1st Qu.:1.371e+12 | 1st Qu.:1.719e+12 | 1st Qu.:1.521e+09 | 1st Qu.:1.409e+08 | 1st Qu.:5.238e+10 | 1st Qu.: 0.080 | 1st Qu.: 0.001 | 1st Qu.: 0.00 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.007 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.00 | 1st Qu.:0.000 | 1st Qu.: 1485.3 | 1st Qu.:0.056 | 1st Qu.:0.162 | 1st Qu.:0.288 | 1st Qu.: 3.841 | 1st Qu.: 2.954 | 1st Qu.: 2.384 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.:0.0000 | 1st Qu.: 51008 | 1st Qu.:7.495e+08 | 1st Qu.:3.256e+12 | 1st Qu.:2.976e+09 | 1st Qu.:0.259 | 1st Qu.:0.021 | 1st Qu.:0.001 | 1st Qu.: 0.000 | 1st Qu.:2.419e+06 | 1st Qu.:1.272e+12 | 1st Qu.:1.559e+12 | 1st Qu.:1.351e+09 | 1st Qu.:1.110e+08 | 1st Qu.:4.633e+10 | 1st Qu.: 0.087 | 1st Qu.: 0.002 | 1st Qu.: 0.002 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.008 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1348 | 1st Qu.:0.061 | 1st Qu.:0.171 | 1st Qu.:0.321 | 1st Qu.: 3.990 | 1st Qu.: 3.089 | 1st Qu.: 2.522 | 1st Qu.: 53459 | 1st Qu.:8.456e+08 | 1st Qu.:3.990e+12 | 1st Qu.:2.255e+09 | 1st Qu.:0.220 | 1st Qu.:0.015 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:2.225e+06 | 1st Qu.:1.118e+12 | 1st Qu.:1.272e+12 | 1st Qu.:1.056e+09 | 1st Qu.:8.450e+07 | 1st Qu.:4.341e+10 | 1st Qu.: 0.069 | 1st Qu.: 0.001 | 1st Qu.: 0.001 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.006 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1511.6 | 1st Qu.:0.061 | 1st Qu.:0.165 | 1st Qu.:0.318 | 1st Qu.: 3.670 | 1st Qu.: 2.887 | 1st Qu.: 2.384 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.:0.0000 | 1st Qu.: 46145 | 1st Qu.:6.309e+08 | 1st Qu.:2.522e+12 | 1st Qu.:1.987e+09 | 1st Qu.:0.255 | 1st Qu.:0.021 | 1st Qu.:0.001 | 1st Qu.: 0.000 | 1st Qu.:2.023e+06 | 1st Qu.:9.101e+11 | 1st Qu.:1.081e+12 | 1st Qu.:8.812e+08 | 1st Qu.:6.662e+07 | 1st Qu.:3.486e+10 | 1st Qu.: 0.082 | 1st Qu.: 0.002 | 1st Qu.: 0.002 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.007 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0 | 1st Qu.: 1298 | 1st Qu.:0.071 | 1st Qu.:0.170 | 1st Qu.:0.371 | 1st Qu.: 3.840 | 1st Qu.: 3.024 | 1st Qu.: 2.518 | 1st Qu.: 52102 | 1st Qu.:8.038e+08 | 1st Qu.:3.678e+12 | 1st Qu.:1.671e+09 | 1st Qu.:0.211 | 1st Qu.:0.013 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:2.021e+06 | 1st Qu.:9.610e+11 | 1st Qu.:1.025e+12 | 1st Qu.:7.524e+08 | 1st Qu.:5.455e+07 | 1st Qu.:3.837e+10 | 1st Qu.: 0.062 | 1st Qu.: 0.001 | 1st Qu.: 0.001 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.005 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.00 | 1st Qu.:0 | 1st Qu.: 1531.5 | 1st Qu.:0.071 | 1st Qu.:0.162 | 1st Qu.:0.369 | 1st Qu.: 3.547 | 1st Qu.: 2.827 | 1st Qu.: 2.378 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.:0.0000 | 1st Qu.: 43744 | 1st Qu.:5.732e+08 | 1st Qu.:2.284e+12 | 1st Qu.:1.446e+09 | 1st Qu.:0.251 | 1st Qu.:0.020 | 1st Qu.:0.001 | 1st Qu.: 0.000 | 1st Qu.:1.885e+06 | 1st Qu.:8.044e+11 | 1st Qu.:8.956e+11 | 1st Qu.:6.424e+08 | 1st Qu.:4.822e+07 | 1st Qu.:3.039e+10 | 1st Qu.: 0.080 | 1st Qu.: 0.002 | 1st Qu.: 0.002 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.007 | 1st Qu.:0.001 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.00 | 1st Qu.:0 | 1st Qu.: 1283 | 1st Qu.:0.083 | 1st Qu.:0.164 | 1st Qu.:0.415 | 1st Qu.: 3.771 | 1st Qu.: 2.979 | 1st Qu.: 2.513 | 1st Qu.: 50807 | 1st Qu.:7.782e+08 | 1st Qu.:3.589e+12 | 1st Qu.:1.327e+09 | 1st Qu.: 0.205 | 1st Qu.: 0.013 | 1st Qu.:0.000 | 1st Qu.: 0.000 | 1st Qu.:1.936e+06 | 1st Qu.:8.855e+11 | 1st Qu.:9.161e+11 | 1st Qu.:6.017e+08 | 1st Qu.:4.189e+07 | 1st Qu.:3.637e+10 | 1st Qu.: 0.058 | 1st Qu.: 0.001 | 1st Qu.: 0.001 | 1st Qu.: 0.000 | 1st Qu.: 0.000 | 1st Qu.: 0.004 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.:0.000 | 1st Qu.: 1565.5 | 1st Qu.:0.082 | 1st Qu.:0.156 | 1st Qu.:0.416 | 1st Qu.: 3.502 | 1st Qu.: 2.793 | 1st Qu.: 2.379 | 1st Qu.: 222.94 | 1st Qu.: 9.469 | 1st Qu.:0.02630 | 1st Qu.:0.1127 | 1st Qu.:0 | 1st Qu.: 0.819 | 1st Qu.:0.1811 | 1st Qu.:1.0000 | NA | NA | NA’s:14132 | 1st Qu.:0.2 | 1st Qu.:1.9 | 1st Qu.:1.4 | 1st Qu.:2 | 1st Qu.:1.800 | 1st Qu.:-7.560e-11 | 1st Qu.:0.209427 | 1st Qu.:0.1013822 | 1st Qu.:-1.1336 | 1st Qu.: 1.7394 | 1st Qu.:-6.600e-11 | 1st Qu.:0.20189 | 1st Qu.:0.103773 | 1st Qu.:-1.0312 | 1st Qu.: 1.6707 | 1st Qu.:-1.104e-10 | 1st Qu.:0.099798 | 1st Qu.:0.0220144 | 1st Qu.: -0.89931 | 1st Qu.: 1.29550 | 1st Qu.:-3.450e-11 | 1st Qu.:0.188691 | 1st Qu.:0.094683 | 1st Qu.:-0.9041 | 1st Qu.: 1.5904 | 1st Qu.: 303069 | 1st Qu.: 316088 | 1st Qu.: 522748 | 1st Qu.:0.2312 | 1st Qu.:-0.00873 | 1st Qu.:0.08642 | 1st Qu.:-0.1686900 | 1st Qu.:0.16439 | 1st Qu.:7.875e-02 | 1st Qu.:0.28159 | 1st Qu.:-0.00762 | 1st Qu.:0.05653 | 1st Qu.:-0.15855 | 1st Qu.:0.14448 | 1st Qu.: 0.073746 | 1st Qu.:0.28148 | 1st Qu.:-0.00317 | 1st Qu.:0.08416 | 1st Qu.:-0.028594 | 1st Qu.:0.10356 | 1st Qu.: 0.00600 | 1st Qu.:0.11254 | 1st Qu.:-0.00675 | 1st Qu.:0.03232 | 1st Qu.:-0.143829 | 1st Qu.:0.12733 | 1st Qu.: 0.066065 | 1st Qu.:0.26695 | 1st Qu.:-0.33681 | 1st Qu.:0.12728 | 1st Qu.:0.000e+00 | 1st Qu.:0.000e+00 | 1st Qu.: 0.3844 | 1st Qu.:-0.00788 | 1st Qu.:0.08475 | 1st Qu.:2.5 | 1st Qu.:7.1 | 1st Qu.:0.5 | |
| 115l BME 901 A: 1 | 3abk : 14 | GOL : 778 | 501 : 417 | C : 795 | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : NA | Median : 7.00 | Median : 7.00 | Median : 7.00 | Median : 55.0 | Median : 52.00 | Median : 3.000 | Median : 0.00 | Median : 3.000 | Median :0.0000 | Median : 7.00 | Median : 56.0 | Median : 3.00 | Median : 0.000 | Median : 3.000 | Median :0.0000 | Median : 18.614 | Median : 27.30 | Median :1.0000 | Median : 392324 | Median :3.374e+10 | Median :7.154e+14 | Median :1.747e+12 | Median :0.4826 | Median :0.0508 | Median :0.0012 | Median :0.0129 | Median :6.683e+07 | Median :5.855e+14 | Median :2.106e+15 | Median :1.004e+12 | Median :3.677e+11 | Median :1.259e+13 | Median : 0.3602 | Median : 0.0167 | Median : 0.0633 | Median :0.0074 | Median :0.0026 | Median : 0.0873 | Median :0.0014 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0e+00 | Median :0 | Median : 3580 | Median :0.1328 | Median :0.3432 | Median :0.5061 | Median : 8.634 | Median : 4.749 | Median : 3.275 | Median : 201961 | Median :8.933e+09 | Median :1.036e+14 | Median :4.992e+11 | Median :0.6608 | Median :0.0950 | Median :0.0030 | Median : 0.0331 | Median :3.292e+07 | Median :1.356e+14 | Median :5.501e+14 | Median :3.324e+11 | Median :1.688e+11 | Median :3.315e+12 | Median : 0.7094 | Median : 0.0617 | Median : 0.2383 | Median : 0.0212 | Median : 0.0092 | Median : 0.2346 | Median :0.0035 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median : 2421 | Median :0.1277 | Median :0.3387 | Median :0.5086 | Median : 8.278 | Median : 4.407 | Median : 3.0316 | Median : 17.561 | Median : 24.51 | Median :1.0000 | Median : 371987 | Median :3.003e+10 | Median :5.893e+14 | Median :1.510e+12 | Median :0.4898 | Median :0.0516 | Median :0.0012 | Median :0.0133 | Median :6.310e+07 | Median :4.979e+14 | Median :1.913e+15 | Median :8.845e+11 | Median :3.127e+11 | Median :1.150e+13 | Median : 0.3698 | Median : 0.0172 | Median : 0.0669 | Median :0.0077 | Median :0.0028 | Median : 0.0905 | Median :0.0014 | Median :0.0000 | Median :0.000 | Median :0.0000 | Median :0.000 | Median :0 | Median : 3438 | Median :0.1310 | Median :0.3406 | Median :0.5083 | Median : 8.615 | Median : 4.687 | Median : 3.2292 | Median : 202072 | Median :8.784e+09 | Median :9.831e+13 | Median :4.894e+11 | Median :0.6567 | Median :0.0935 | Median :0.0029 | Median : 0.0320 | Median :3.248e+07 | Median :1.308e+14 | Median :5.311e+14 | Median :3.206e+11 | Median :1.575e+11 | Median :3.324e+12 | Median : 0.6992 | Median : 0.0591 | Median : 0.234 | Median : 0.0207 | Median : 0.0089 | Median : 0.2290 | Median :0.0035 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median : 2417.00 | Median :0.1259 | Median :0.3374 | Median :0.5097 | Median : 8.306 | Median : 4.348 | Median : 2.9975 | Median : 14.92 | Median : 18.472 | Median :1.0000 | Median : 353222 | Median :2.632e+10 | Median :4.586e+14 | Median :1.271e+12 | Median :0.5084 | Median :0.0541 | Median :0.0013 | Median : 0.0147 | Median :5.957e+07 | Median :4.354e+14 | Median :1.765e+15 | Median :7.309e+11 | Median :2.667e+11 | Median :1.056e+13 | Median : 0.3991 | Median : 0.0192 | Median : 0.0794 | Median : 0.0086 | Median : 0.0031 | Median : 0.1038 | Median :0.0016 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0 | Median : 3199 | Median :0.1240 | Median :0.3398 | Median :0.5108 | Median : 8.686 | Median : 4.593 | Median : 3.1510 | Median : 217227 | Median :9.850e+09 | Median :1.054e+14 | Median :5.136e+11 | Median :0.6472 | Median :0.0889 | Median :0.0027 | Median : 0.0303 | Median :3.677e+07 | Median :1.554e+14 | Median :7.150e+14 | Median :3.379e+11 | Median :1.608e+11 | Median :4.074e+12 | Median : 0.6657 | Median : 0.0525 | Median : 0.219 | Median : 0.0196 | Median : 0.0080 | Median : 0.2166 | Median :0.0034 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median :0.0000 | Median : 2471.8 | Median :0.1191 | Median :0.3397 | Median :0.5135 | Median : 8.412 | Median : 4.310 | Median : 2.9366 | Median : 12.2 | Median : 13.93 | Median :1.0000 | Median : 332182 | Median :2.274e+10 | Median :3.814e+14 | Median :1.155e+12 | Median :0.523 | Median :0.056 | Median :0.001 | Median : 0.016 | Median :5.614e+07 | Median :3.576e+14 | Median :1.544e+15 | Median :6.599e+11 | Median :2.269e+11 | Median :9.433e+12 | Median : 0.420 | Median : 0.021 | Median : 0.089 | Median : 0.009 | Median : 0.003 | Median : 0.114 | Median :0.002 | Median :0.000 | Median :0.00 | Median :0.000 | Median :0.000 | Median :0 | Median : 2992 | Median :0.121 | Median :0.346 | Median :0.518 | Median : 8.678 | Median : 4.500 | Median : 3.088 | Median : 228546 | Median :1.021e+10 | Median :1.089e+14 | Median :5.777e+11 | Median : 0.628 | Median : 0.084 | Median :0.002 | Median : 0.028 | Median :3.763e+07 | Median :1.593e+14 | Median :7.299e+14 | Median :3.627e+11 | Median :1.751e+11 | Median :4.446e+12 | Median : 0.630 | Median : 0.047 | Median : 0.20 | Median : 0.018 | Median : 0.008 | Median : 0.200 | Median :0.003 | Median :0.000 | Median : 0.000 | Median :0.00 | Median :0.000 | Median :0.000 | Median : 2517 | Median :0.117 | Median :0.347 | Median :0.521 | Median : 8.473 | Median : 4.238 | Median : 2.885 | Median : 9.215 | Median : 10.6 | Median :1.0000 | Median : 280935 | Median :1.629e+10 | Median :2.224e+14 | Median :7.137e+11 | Median :0.525 | Median :0.056 | Median :0.001 | Median : 0.015 | Median :4.370e+07 | Median :2.246e+14 | Median :9.829e+14 | Median :4.405e+11 | Median :1.563e+11 | Median :6.147e+12 | Median : 0.429 | Median : 0.021 | Median : 0.091 | Median : 0.009 | Median : 0.003 | Median : 0.116 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0 | Median : 2709 | Median :0.119 | Median :0.350 | Median :0.527 | Median : 8.460 | Median : 4.360 | Median : 3.012 | Median : 208895 | Median :8.384e+09 | Median :8.358e+13 | Median :4.365e+11 | Median : 0.594 | Median : 0.076 | Median :0.002 | Median : 0.024 | Median :3.302e+07 | Median :1.173e+14 | Median :6.077e+14 | Median :2.828e+11 | Median :1.362e+11 | Median :3.757e+12 | Median : 0.569 | Median : 0.040 | Median : 0.16 | Median : 0.015 | Median : 0.006 | Median : 0.172 | Median :0.003 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median : 2479.6 | Median :0.114 | Median :0.348 | Median :0.533 | Median : 8.245 | Median : 4.104 | Median : 2.825 | Median : 3.495 | Median : 8.224 | Median :1.00 | Median : 235095 | Median :1.149e+10 | Median :1.206e+14 | Median :4.385e+11 | Median :0.516 | Median :0.053 | Median :0.001 | Median : 0.014 | Median :3.362e+07 | Median :1.342e+14 | Median :5.714e+14 | Median :2.675e+11 | Median :9.867e+10 | Median :4.056e+12 | Median : 0.406 | Median : 0.019 | Median : 0.081 | Median : 0.008 | Median : 0.003 | Median : 0.108 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0 | Median : 2462 | Median :0.121 | Median :0.350 | Median :0.548 | Median : 8.105 | Median : 4.177 | Median : 2.942 | Median : 191922 | Median :7.194e+09 | Median :6.487e+13 | Median :3.234e+11 | Median : 0.545 | Median :0.066 | Median :0.002 | Median : 0.017 | Median :2.862e+07 | Median :8.374e+13 | Median :4.300e+14 | Median :2.165e+11 | Median :1.037e+11 | Median :3.022e+12 | Median : 0.481 | Median : 0.030 | Median : 0.1 | Median : 0.011 | Median : 0.005 | Median : 0.129 | Median :0.003 | Median :0.000 | Median : 0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median : 2418.0 | Median :0.117 | Median :0.351 | Median :0.556 | Median : 7.926 | Median : 3.941 | Median : 2.760 | Median : 0.00 | Median : 0.00 | Median :0.0000 | Median : 185677 | Median :7.099e+09 | Median :6.726e+13 | Median :2.095e+11 | Median : 0.485 | Median :0.048 | Median :0.001 | Median : 0.010 | Median :2.342e+07 | Median :6.457e+13 | Median :2.739e+14 | Median :1.217e+11 | Median :4.539e+10 | Median :2.319e+12 | Median : 0.353 | Median : 0.014 | Median : 0.061 | Median : 0.006 | Median : 0.002 | Median : 0.090 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.00 | Median :0.000 | Median :0 | Median : 2232 | Median :0.129 | Median :0.370 | Median :0.585 | Median : 7.658 | Median : 3.950 | Median : 2.899 | Median : 165427 | Median :5.518e+09 | Median :4.585e+13 | Median :1.829e+11 | Median : 0.475 | Median :0.051 | Median :0.001 | Median : 0.009 | Median :2.158e+07 | Median :4.817e+13 | Median :2.463e+14 | Median :1.245e+11 | Median :5.890e+10 | Median :1.962e+12 | Median : 0.357 | Median : 0.017 | Median : 0.06 | Median : 0.006 | Median : 0.003 | Median : 0.085 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.00 | Median :0.000 | Median : 2389.9 | Median :0.126 | Median :0.372 | Median :0.594 | Median : 7.482 | Median : 3.700 | Median : 2.717 | Median : 0.000 | Median : 0.000 | Median :0.0000 | Median : 150813 | Median :4.832e+09 | Median :3.949e+13 | Median :8.898e+10 | Median :0.441 | Median :0.042 | Median :0.001 | Median : 0.006 | Median :1.700e+07 | Median :3.448e+13 | Median :1.447e+14 | Median :5.238e+10 | Median :2.114e+10 | Median :1.353e+12 | Median : 0.298 | Median : 0.010 | Median : 0.043 | Median : 0.003 | Median : 0.001 | Median : 0.067 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0 | Median : 2070 | Median :0.145 | Median :0.394 | Median :0.637 | Median : 7.263 | Median : 3.706 | Median : 2.857 | Median : 144521 | Median :4.340e+09 | Median :3.527e+13 | Median :9.948e+10 | Median :0.414 | Median :0.040 | Median :0.001 | Median : 0.004 | Median :1.634e+07 | Median :2.840e+13 | Median :1.462e+14 | Median :6.826e+10 | Median :3.280e+10 | Median :1.242e+12 | Median : 0.255 | Median : 0.009 | Median : 0.029 | Median : 0.003 | Median : 0.001 | Median : 0.052 | Median :0.002 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0 | Median : 2363.1 | Median :0.140 | Median :0.400 | Median :0.654 | Median : 7.036 | Median : 3.471 | Median : 2.681 | Median : 0.000 | Median : 0.000 | Median :0.0000 | Median : 127679 | Median :3.534e+09 | Median :2.584e+13 | Median :4.158e+10 | Median :0.407 | Median :0.036 | Median :0.001 | Median : 0.003 | Median :1.275e+07 | Median :1.843e+13 | Median :8.248e+13 | Median :2.365e+10 | Median :9.899e+09 | Median :8.806e+11 | Median : 0.254 | Median : 0.008 | Median : 0.031 | Median : 0.002 | Median : 0.001 | Median : 0.052 | Median :0.001 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0 | Median : 1916 | Median :0.158 | Median :0.414 | Median :0.684 | Median : 6.899 | Median : 3.489 | Median : 2.817 | Median : 127405 | Median :3.506e+09 | Median :2.632e+13 | Median :5.500e+10 | Median :0.371 | Median :0.030 | Median :0.001 | Median : 0.002 | Median :1.319e+07 | Median :1.688e+13 | Median :9.255e+13 | Median :3.616e+10 | Median :1.775e+10 | Median :8.919e+11 | Median : 0.198 | Median : 0.005 | Median : 0.017 | Median : 0.001 | Median : 0.001 | Median : 0.037 | Median :0.001 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.00 | Median :0 | Median : 2328.1 | Median :0.156 | Median :0.421 | Median :0.700 | Median : 6.616 | Median : 3.275 | Median : 2.650 | Median : 0.000 | Median : 0.000 | Median :0.0000 | Median : 116713 | Median :2.822e+09 | Median :1.990e+13 | Median :2.428e+10 | Median :0.392 | Median :0.034 | Median :0.001 | Median : 0.002 | Median :1.118e+07 | Median :1.360e+13 | Median :6.380e+13 | Median :1.480e+10 | Median :5.684e+09 | Median :7.004e+11 | Median : 0.234 | Median : 0.006 | Median : 0.027 | Median : 0.001 | Median : 0.000 | Median : 0.046 | Median :0.001 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.00 | Median :0 | Median : 1847 | Median :0.167 | Median :0.413 | Median :0.722 | Median : 6.706 | Median : 3.360 | Median : 2.773 | Median : 124612 | Median :3.209e+09 | Median :2.297e+13 | Median :3.406e+10 | Median : 0.347 | Median : 0.026 | Median :0.001 | Median : 0.001 | Median :1.204e+07 | Median :1.361e+13 | Median :7.942e+13 | Median :2.196e+10 | Median :1.126e+10 | Median :7.923e+11 | Median : 0.175 | Median : 0.004 | Median : 0.014 | Median : 0.001 | Median : 0.000 | Median : 0.030 | Median :0.001 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median :0.000 | Median : 2294.0 | Median :0.166 | Median :0.422 | Median :0.734 | Median : 6.407 | Median : 3.166 | Median : 2.618 | Median : 414.56 | Median : 18.614 | Median :0.03704 | Median :0.1532 | Median :0 | Median : 1.281 | Median :0.2529 | Median :1.0000 | NA | NA | NA | Median :0.2 | Median :1.9 | Median :1.4 | Median :2 | Median :2.040 | Median : 1.046e-10 | Median :0.273372 | Median :0.1720145 | Median :-0.9347 | Median : 2.5344 | Median : 1.430e-10 | Median :0.26292 | Median :0.177083 | Median :-0.8379 | Median : 2.4168 | Median : 6.200e-12 | Median :0.130447 | Median :0.0413683 | Median : -0.71010 | Median : 1.93808 | Median : 1.402e-10 | Median :0.245466 | Median :0.163666 | Median :-0.7254 | Median : 2.3201 | Median : 717445 | Median : 514708 | Median : 885746 | Median :0.3320 | Median :-0.00457 | Median :0.11254 | Median :-0.1453470 | Median :0.19674 | Median :8.654e-02 | Median :0.35584 | Median :-0.00383 | Median :0.07331 | Median :-0.13823 | Median :0.17009 | Median : 0.082145 | Median :0.35579 | Median :-0.00132 | Median :0.10912 | Median :-0.018357 | Median :0.13054 | Median : 0.01149 | Median :0.14498 | Median :-0.00305 | Median :0.04169 | Median :-0.126363 | Median :0.15054 | Median : 0.074527 | Median :0.33948 | Median :-0.30237 | Median :0.14707 | Median :0.000e+00 | Median :0.000e+00 | Median : 0.4401 | Median :-0.00367 | Median :0.11066 | Median :2.5 | Median :7.1 | Median :0.5 | |
| 115l CL 173 A : 1 | 2afh : 11 | CA : 661 | 401 : 395 | D : 552 | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean :NaN | Mean : 13.59 | Mean : 13.43 | Mean : 13.05 | Mean :101.5 | Mean : 98.33 | Mean : 7.332 | Mean : 1.35 | Mean : 3.817 | Mean :0.2208 | Mean : 13.74 | Mean :103.8 | Mean : 7.47 | Mean : 1.357 | Mean : 3.979 | Mean :0.2213 | Mean : 31.535 | Mean : 51.45 | Mean :0.9725 | Mean : 3091661 | Mean :1.622e+13 | Mean :1.938e+20 | Mean :2.123e+16 | Mean :0.5752 | Mean :0.0782 | Mean :0.0026 | Mean :0.0651 | Mean :4.023e+09 | Mean :1.143e+20 | Mean :6.415e+20 | Mean :1.253e+16 | Mean :6.720e+15 | Mean :1.592e+17 | Mean : 0.6958 | Mean : 0.1159 | Mean : 1.0010 | Mean :0.0416 | Mean :0.0260 | Mean : 0.4266 | Mean :0.0022 | Mean :0.0000 | Mean :0.0000 | Mean :0.0000 | Mean :0e+00 | Mean :0 | Mean : 6622 | Mean :0.2174 | Mean :0.4061 | Mean :0.5133 | Mean :10.851 | Mean : 5.807 | Mean : 3.682 | Mean : 1670086 | Mean :3.188e+12 | Mean :4.092e+18 | Mean :3.482e+15 | Mean :0.7665 | Mean :0.1466 | Mean :0.0071 | Mean : 0.2521 | Mean :2.036e+09 | Mean :1.025e+19 | Mean :7.811e+19 | Mean :2.193e+15 | Mean :1.334e+15 | Mean :2.463e+16 | Mean : 1.4490 | Mean : 0.6412 | Mean : 6.6229 | Mean : 0.1849 | Mean : 0.1401 | Mean : 1.4628 | Mean :0.0078 | Mean :0.0000 | Mean :0.0004 | Mean :0.0001 | Mean :0.0001 | Mean :0.0000 | Mean : 4059 | Mean :0.2206 | Mean :0.4058 | Mean :0.5151 | Mean :10.400 | Mean : 5.487 | Mean : 3.4481 | Mean : 29.751 | Mean : 46.67 | Mean :0.9522 | Mean : 2894498 | Mean :1.384e+13 | Mean :1.558e+20 | Mean :1.829e+16 | Mean :0.5905 | Mean :0.0823 | Mean :0.0028 | Mean :0.0756 | Mean :3.739e+09 | Mean :9.661e+19 | Mean :5.336e+20 | Mean :1.094e+16 | Mean :6.034e+15 | Mean :1.347e+17 | Mean : 0.7492 | Mean : 0.1351 | Mean : 1.2288 | Mean :0.0491 | Mean :0.0315 | Mean : 0.4913 | Mean :0.0024 | Mean :0.0000 | Mean :0.000 | Mean :0.0000 | Mean :0.000 | Mean :0 | Mean : 6285 | Mean :0.2203 | Mean :0.4073 | Mean :0.5139 | Mean :10.825 | Mean : 5.750 | Mean : 3.6288 | Mean : 1627744 | Mean :2.936e+12 | Mean :3.562e+18 | Mean :3.237e+15 | Mean :0.7698 | Mean :0.1473 | Mean :0.0071 | Mean : 0.2734 | Mean :1.973e+09 | Mean :9.264e+18 | Mean :7.123e+19 | Mean :2.063e+15 | Mean :1.281e+15 | Mean :2.274e+16 | Mean : 1.4893 | Mean : 0.6688 | Mean : 7.645 | Mean : 0.2013 | Mean : 0.1533 | Mean : 1.5884 | Mean :0.0079 | Mean :0.0000 | Mean :0.0004 | Mean :0.0001 | Mean :0.0001 | Mean :0.0000 | Mean : 4006.64 | Mean :0.2236 | Mean :0.4073 | Mean :0.5159 | Mean :10.396 | Mean : 5.447 | Mean : 3.4090 | Mean : 25.29 | Mean : 36.283 | Mean :0.8789 | Mean : 2498087 | Mean :9.441e+12 | Mean :9.121e+19 | Mean :1.266e+16 | Mean :0.6297 | Mean :0.0941 | Mean :0.0033 | Mean : 0.1094 | Mean :3.159e+09 | Mean :6.363e+19 | Mean :3.286e+20 | Mean :7.812e+15 | Mean :4.583e+15 | Mean :8.826e+16 | Mean : 0.8958 | Mean : 0.2128 | Mean : 2.0358 | Mean : 0.0736 | Mean : 0.0498 | Mean : 0.6871 | Mean :0.0030 | Mean :0.0000 | Mean :0.0000 | Mean :0.0000 | Mean :0.0000 | Mean :0 | Mean : 5623 | Mean :0.2274 | Mean :0.4111 | Mean :0.5145 | Mean :10.830 | Mean : 5.664 | Mean : 3.5406 | Mean : 1535388 | Mean :2.373e+12 | Mean :2.490e+18 | Mean :2.667e+15 | Mean :0.7767 | Mean :0.1502 | Mean :0.0071 | Mean : 0.3481 | Mean :1.830e+09 | Mean :7.042e+18 | Mean :5.556e+19 | Mean :1.749e+15 | Mean :1.137e+15 | Mean :1.846e+16 | Mean : 1.5867 | Mean : 0.8918 | Mean : 10.868 | Mean : 0.2686 | Mean : 0.2157 | Mean : 1.8945 | Mean :0.0081 | Mean :0.0000 | Mean :0.0005 | Mean :0.0001 | Mean :0.0001 | Mean :0.0000 | Mean : 3919.5 | Mean :0.2311 | Mean :0.4116 | Mean :0.5172 | Mean :10.432 | Mean : 5.387 | Mean : 3.3448 | Mean : 21.1 | Mean : 28.00 | Mean :0.7844 | Mean : 2143093 | Mean :6.474e+12 | Mean :5.200e+19 | Mean :9.143e+15 | Mean :0.664 | Mean :0.105 | Mean :0.004 | Mean : 0.147 | Mean :2.643e+09 | Mean :4.120e+19 | Mean :2.049e+20 | Mean :5.802e+15 | Mean :3.575e+15 | Mean :5.861e+16 | Mean : 1.043 | Mean : 0.320 | Mean : 3.088 | Mean : 0.100 | Mean : 0.068 | Mean : 0.928 | Mean :0.004 | Mean :0.000 | Mean :0.00 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 5042 | Mean :0.236 | Mean :0.417 | Mean :0.518 | Mean :10.758 | Mean : 5.557 | Mean : 3.458 | Mean : 1416666 | Mean :1.856e+12 | Mean :1.666e+18 | Mean :2.191e+15 | Mean : 0.780 | Mean : 0.153 | Mean :0.007 | Mean : 0.434 | Mean :1.652e+09 | Mean :5.106e+18 | Mean :4.232e+19 | Mean :1.487e+15 | Mean :1.019e+15 | Mean :1.456e+16 | Mean : 1.669 | Mean : 1.234 | Mean : 19.76 | Mean : 0.334 | Mean : 0.268 | Mean : 2.430 | Mean :0.009 | Mean :0.000 | Mean : 0.002 | Mean :0.00 | Mean :0.000 | Mean :0.000 | Mean : 3800 | Mean :0.240 | Mean :0.418 | Mean :0.522 | Mean :10.377 | Mean : 5.298 | Mean : 3.279 | Mean : 17.299 | Mean : 21.4 | Mean :0.6916 | Mean : 1793267 | Mean :4.402e+12 | Mean :2.929e+19 | Mean :6.519e+15 | Mean :0.689 | Mean :0.113 | Mean :0.004 | Mean : 0.191 | Mean :2.154e+09 | Mean :2.754e+19 | Mean :1.289e+20 | Mean :4.253e+15 | Mean :2.743e+15 | Mean :3.912e+16 | Mean : 1.176 | Mean : 0.461 | Mean : 5.020 | Mean : 0.136 | Mean : 0.099 | Mean : 1.241 | Mean :0.004 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 4477 | Mean :0.242 | Mean :0.422 | Mean :0.522 | Mean :10.534 | Mean : 5.386 | Mean : 3.353 | Mean : 1256622 | Mean :1.367e+12 | Mean :1.039e+18 | Mean :1.695e+15 | Mean : 0.771 | Mean : 0.148 | Mean :0.007 | Mean : 0.541 | Mean :1.425e+09 | Mean :3.628e+18 | Mean :3.046e+19 | Mean :1.206e+15 | Mean :8.804e+14 | Mean :1.084e+16 | Mean : 1.688 | Mean : 1.227 | Mean : 25.74 | Mean : 0.456 | Mean : 0.400 | Mean : 2.607 | Mean :0.008 | Mean :0.000 | Mean :0.001 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean : 3618.9 | Mean :0.246 | Mean :0.423 | Mean :0.526 | Mean :10.167 | Mean : 5.141 | Mean : 3.188 | Mean : 13.862 | Mean : 16.100 | Mean :0.59 | Mean : 1489327 | Mean :2.966e+12 | Mean :1.528e+19 | Mean :4.724e+15 | Mean :0.699 | Mean :0.116 | Mean :0.004 | Mean : 0.253 | Mean :1.726e+09 | Mean :1.838e+19 | Mean :8.501e+19 | Mean :3.188e+15 | Mean :2.164e+15 | Mean :2.655e+16 | Mean : 1.268 | Mean : 0.495 | Mean : 7.081 | Mean : 0.193 | Mean : 0.153 | Mean : 1.495 | Mean :0.005 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 4002 | Mean :0.251 | Mean :0.427 | Mean :0.532 | Mean :10.218 | Mean : 5.179 | Mean : 3.254 | Mean : 1092621 | Mean :9.870e+11 | Mean :6.227e+17 | Mean :1.339e+15 | Mean : 0.753 | Mean :0.141 | Mean :0.006 | Mean : 1.045 | Mean :1.196e+09 | Mean :2.495e+18 | Mean :2.148e+19 | Mean :9.911e+14 | Mean :7.593e+14 | Mean :7.930e+15 | Mean : 1.737 | Mean : 0.956 | Mean : 73.8 | Mean : 0.958 | Mean : 0.900 | Mean : 3.705 | Mean :0.009 | Mean :0.000 | Mean : 0.009 | Mean :0.001 | Mean :0.001 | Mean :0.000 | Mean : 3446.0 | Mean :0.256 | Mean :0.428 | Mean :0.537 | Mean : 9.854 | Mean : 4.944 | Mean : 3.097 | Mean : 10.88 | Mean : 11.94 | Mean :0.4852 | Mean : 1222842 | Mean :2.019e+12 | Mean :8.302e+18 | Mean :3.378e+15 | Mean : 0.687 | Mean :0.112 | Mean :0.004 | Mean : 0.278 | Mean :1.350e+09 | Mean :1.269e+19 | Mean :5.687e+19 | Mean :2.295e+15 | Mean :1.573e+15 | Mean :1.828e+16 | Mean : 1.299 | Mean : 1.250 | Mean : 12.227 | Mean : 0.224 | Mean : 0.187 | Mean : 1.879 | Mean :0.005 | Mean :0.000 | Mean :0.000 | Mean :0.00 | Mean :0.000 | Mean :0 | Mean : 3606 | Mean :0.266 | Mean :0.437 | Mean :0.550 | Mean : 9.751 | Mean : 4.941 | Mean : 3.170 | Mean : 926558 | Mean :6.708e+11 | Mean :3.182e+17 | Mean :9.803e+14 | Mean : 0.717 | Mean :0.129 | Mean :0.005 | Mean : 0.478 | Mean :9.550e+08 | Mean :1.601e+18 | Mean :1.355e+19 | Mean :7.529e+14 | Mean :6.013e+14 | Mean :5.339e+15 | Mean : 1.628 | Mean : 3.869 | Mean : 31.36 | Mean : 0.415 | Mean : 0.372 | Mean : 2.996 | Mean :0.008 | Mean :0.000 | Mean :0.002 | Mean :0.000 | Mean :0.00 | Mean :0.000 | Mean : 3285.4 | Mean :0.271 | Mean :0.439 | Mean :0.555 | Mean : 9.395 | Mean : 4.716 | Mean : 3.018 | Mean : 8.499 | Mean : 8.825 | Mean :0.3972 | Mean : 980603 | Mean :1.345e+12 | Mean :4.072e+18 | Mean :2.389e+15 | Mean :0.650 | Mean :0.103 | Mean :0.004 | Mean : 0.315 | Mean :1.037e+09 | Mean :8.459e+18 | Mean :3.897e+19 | Mean :1.649e+15 | Mean :1.156e+15 | Mean :1.262e+16 | Mean : 1.182 | Mean : 0.447 | Mean : 9.429 | Mean : 0.263 | Mean : 0.229 | Mean : 1.570 | Mean :0.005 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 3254 | Mean :0.285 | Mean :0.451 | Mean :0.577 | Mean : 9.133 | Mean : 4.684 | Mean : 3.096 | Mean : 761473 | Mean :4.467e+11 | Mean :1.706e+17 | Mean :6.972e+14 | Mean :0.659 | Mean :0.114 | Mean :0.005 | Mean : 0.406 | Mean :7.320e+08 | Mean :1.082e+18 | Mean :9.105e+18 | Mean :5.415e+14 | Mean :4.377e+14 | Mean :3.615e+15 | Mean : 1.407 | Mean : 0.689 | Mean : 11.904 | Mean : 0.343 | Mean : 0.300 | Mean : 2.001 | Mean :0.007 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 3133.6 | Mean :0.290 | Mean :0.453 | Mean :0.582 | Mean : 8.797 | Mean : 4.464 | Mean : 2.948 | Mean : 6.594 | Mean : 6.491 | Mean :0.3167 | Mean : 770168 | Mean :8.672e+11 | Mean :1.746e+18 | Mean :1.586e+15 | Mean :0.599 | Mean :0.088 | Mean :0.003 | Mean : 0.201 | Mean :7.658e+08 | Mean :5.362e+18 | Mean :2.466e+19 | Mean :1.111e+15 | Mean :7.948e+14 | Mean :8.283e+15 | Mean : 0.996 | Mean : 0.314 | Mean : 5.072 | Mean : 0.157 | Mean : 0.128 | Mean : 1.152 | Mean :0.004 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0 | Mean : 2951 | Mean :0.302 | Mean :0.462 | Mean :0.604 | Mean : 8.469 | Mean : 4.391 | Mean : 3.013 | Mean : 607846 | Mean :2.916e+11 | Mean :8.687e+16 | Mean :4.451e+14 | Mean :0.596 | Mean :0.097 | Mean :0.004 | Mean : 0.321 | Mean :5.321e+08 | Mean :7.080e+17 | Mean :5.720e+18 | Mean :3.426e+14 | Mean :2.742e+14 | Mean :2.388e+15 | Mean : 1.205 | Mean : 0.627 | Mean : 8.923 | Mean : 0.262 | Mean : 0.223 | Mean : 1.636 | Mean :0.006 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.00 | Mean :0 | Mean : 2997.7 | Mean :0.306 | Mean :0.463 | Mean :0.610 | Mean : 8.159 | Mean : 4.179 | Mean : 2.866 | Mean : 5.125 | Mean : 4.805 | Mean :0.2491 | Mean : 615842 | Mean :5.264e+11 | Mean :5.428e+17 | Mean :1.288e+15 | Mean :0.564 | Mean :0.077 | Mean :0.003 | Mean : 0.197 | Mean :5.785e+08 | Mean :3.064e+18 | Mean :1.607e+19 | Mean :8.853e+14 | Mean :6.166e+14 | Mean :5.382e+15 | Mean : 0.908 | Mean : 0.327 | Mean : 6.447 | Mean : 0.167 | Mean : 0.147 | Mean : 1.216 | Mean :0.004 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean :0.00 | Mean :0 | Mean : 2720 | Mean :0.314 | Mean :0.464 | Mean :0.631 | Mean : 7.959 | Mean : 4.151 | Mean : 2.954 | Mean : 498566 | Mean :1.960e+11 | Mean :4.007e+16 | Mean :3.507e+14 | Mean : 0.550 | Mean : 0.085 | Mean :0.004 | Mean : 0.349 | Mean :4.013e+08 | Mean :4.416e+17 | Mean :4.001e+18 | Mean :2.741e+14 | Mean :2.230e+14 | Mean :1.661e+15 | Mean : 1.116 | Mean : 1.051 | Mean : 14.992 | Mean : 0.297 | Mean : 0.262 | Mean : 1.927 | Mean :0.006 | Mean :0.000 | Mean :0.001 | Mean :0.000 | Mean :0.000 | Mean :0.000 | Mean : 2900.9 | Mean :0.318 | Mean :0.465 | Mean :0.637 | Mean : 7.671 | Mean : 3.948 | Mean : 2.810 | Mean : 937.24 | Mean : 31.535 | Mean :0.04484 | Mean :0.1815 | Mean :0 | Mean : 1.690 | Mean :0.3039 | Mean :0.9725 | NA | NA | NA | Mean :0.2 | Mean :1.9 | Mean :1.4 | Mean :2 | Mean :2.128 | Mean :-7.000e-11 | Mean :0.275025 | Mean :0.1927164 | Mean :-0.9678 | Mean : 2.7854 | Mean : 2.942e-09 | Mean :0.26458 | Mean :0.197404 | Mean :-0.8724 | Mean : 2.5077 | Mean :-5.264e-10 | Mean :0.133948 | Mean :0.0575110 | Mean : -0.75040 | Mean : 2.38074 | Mean : 4.934e-10 | Mean :0.247163 | Mean :0.182585 | Mean :-0.7575 | Mean : 2.4045 | Mean : 1615555 | Mean : 745313 | Mean : 1369266 | Mean :0.3389 | Mean :-0.00593 | Mean :0.11494 | Mean :-0.1417209 | Mean :0.19472 | Mean :8.550e-02 | Mean :0.35322 | Mean :-0.00488 | Mean :0.07565 | Mean :-0.13486 | Mean :0.16813 | Mean : 0.081655 | Mean :0.35238 | Mean :-0.00190 | Mean :0.11144 | Mean :-0.018502 | Mean :0.13226 | Mean : 0.01071 | Mean :0.14801 | Mean :-0.00403 | Mean :0.04446 | Mean :-0.123219 | Mean :0.14792 | Mean : 0.074781 | Mean :0.33536 | Mean :-0.28451 | Mean :0.15577 | Mean :1.348e+73 | Mean :6.825e+71 | Mean : 0.4472 | Mean :-0.00524 | Mean :0.11325 | Mean :2.5 | Mean :7.1 | Mean :0.5 | |
| 123l BME 901 A: 1 | 3a0b : 11 | MG : 402 | 201 : 306 | E : 221 | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: NA | 3rd Qu.: 21.00 | 3rd Qu.: 20.00 | 3rd Qu.: 20.00 | 3rd Qu.:145.0 | 3rd Qu.:139.15 | 3rd Qu.:10.000 | 3rd Qu.: 2.00 | 3rd Qu.: 5.000 | 3rd Qu.:0.0000 | 3rd Qu.: 21.00 | 3rd Qu.:151.0 | 3rd Qu.:10.00 | 3rd Qu.: 2.000 | 3rd Qu.: 6.000 | 3rd Qu.:0.0000 | 3rd Qu.: 41.434 | 3rd Qu.: 67.06 | 3rd Qu.:1.0000 | 3rd Qu.: 2563883 | 3rd Qu.:1.258e+12 | 3rd Qu.:1.241e+17 | 3rd Qu.:2.287e+14 | 3rd Qu.:0.7365 | 3rd Qu.:0.0992 | 3rd Qu.:0.0028 | 3rd Qu.:0.0521 | 3rd Qu.:1.197e+09 | 3rd Qu.:1.535e+17 | 3rd Qu.:7.688e+17 | 3rd Qu.:1.300e+14 | 3rd Qu.:5.116e+13 | 3rd Qu.:1.647e+15 | 3rd Qu.: 0.8471 | 3rd Qu.: 0.0720 | 3rd Qu.: 0.4041 | 3rd Qu.:0.0306 | 3rd Qu.:0.0150 | 3rd Qu.: 0.3408 | 3rd Qu.:0.0026 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0e+00 | 3rd Qu.:0 | 3rd Qu.: 8604 | 3rd Qu.:0.2864 | 3rd Qu.:0.5983 | 3rd Qu.:0.7264 | 3rd Qu.:14.739 | 3rd Qu.: 7.444 | 3rd Qu.: 4.313 | 3rd Qu.: 1405891 | 3rd Qu.:3.835e+11 | 3rd Qu.:2.108e+16 | 3rd Qu.:7.100e+13 | 3rd Qu.:1.0132 | 3rd Qu.:0.1898 | 3rd Qu.:0.0074 | 3rd Qu.: 0.1622 | 3rd Qu.:6.281e+08 | 3rd Qu.:4.085e+16 | 3rd Qu.:2.124e+17 | 3rd Qu.:4.662e+13 | 3rd Qu.:2.294e+13 | 3rd Qu.:4.635e+14 | 3rd Qu.: 1.6894 | 3rd Qu.: 0.2874 | 3rd Qu.: 1.6383 | 3rd Qu.: 0.1056 | 3rd Qu.: 0.0611 | 3rd Qu.: 0.9441 | 3rd Qu.:0.0077 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.: 5322 | 3rd Qu.:0.3017 | 3rd Qu.:0.6051 | 3rd Qu.:0.7363 | 3rd Qu.:14.368 | 3rd Qu.: 7.143 | 3rd Qu.: 4.0015 | 3rd Qu.: 39.384 | 3rd Qu.: 61.21 | 3rd Qu.:1.0000 | 3rd Qu.: 2444647 | 3rd Qu.:1.136e+12 | 3rd Qu.:1.036e+17 | 3rd Qu.:2.211e+14 | 3rd Qu.:0.7633 | 3rd Qu.:0.1046 | 3rd Qu.:0.0029 | 3rd Qu.:0.0576 | 3rd Qu.:1.145e+09 | 3rd Qu.:1.387e+17 | 3rd Qu.:7.039e+17 | 3rd Qu.:1.258e+14 | 3rd Qu.:4.840e+13 | 3rd Qu.:1.513e+15 | 3rd Qu.: 0.9138 | 3rd Qu.: 0.0810 | 3rd Qu.: 0.4712 | 3rd Qu.:0.0344 | 3rd Qu.:0.0168 | 3rd Qu.: 0.3852 | 3rd Qu.:0.0029 | 3rd Qu.:0.0000 | 3rd Qu.:0.000 | 3rd Qu.:0.0000 | 3rd Qu.:0.000 | 3rd Qu.:0 | 3rd Qu.: 8213 | 3rd Qu.:0.2989 | 3rd Qu.:0.6085 | 3rd Qu.:0.7338 | 3rd Qu.:14.839 | 3rd Qu.: 7.393 | 3rd Qu.: 4.2305 | 3rd Qu.: 1411425 | 3rd Qu.:3.754e+11 | 3rd Qu.:1.981e+16 | 3rd Qu.:7.614e+13 | 3rd Qu.:1.0250 | 3rd Qu.:0.1896 | 3rd Qu.:0.0073 | 3rd Qu.: 0.1652 | 3rd Qu.:6.229e+08 | 3rd Qu.:4.167e+16 | 3rd Qu.:2.155e+17 | 3rd Qu.:4.987e+13 | 3rd Qu.:2.406e+13 | 3rd Qu.:4.685e+14 | 3rd Qu.: 1.7199 | 3rd Qu.: 0.2869 | 3rd Qu.: 1.696 | 3rd Qu.: 0.1089 | 3rd Qu.: 0.0639 | 3rd Qu.: 0.9822 | 3rd Qu.:0.0078 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.: 5277.11 | 3rd Qu.:0.3139 | 3rd Qu.:0.6152 | 3rd Qu.:0.7444 | 3rd Qu.:14.466 | 3rd Qu.: 7.099 | 3rd Qu.: 3.9472 | 3rd Qu.: 34.14 | 3rd Qu.: 47.706 | 3rd Qu.:1.0000 | 3rd Qu.: 2198054 | 3rd Qu.:9.254e+11 | 3rd Qu.:7.874e+16 | 3rd Qu.:1.902e+14 | 3rd Qu.:0.8274 | 3rd Qu.:0.1201 | 3rd Qu.:0.0033 | 3rd Qu.: 0.0759 | 3rd Qu.:1.030e+09 | 3rd Qu.:1.117e+17 | 3rd Qu.:5.691e+17 | 3rd Qu.:1.103e+14 | 3rd Qu.:4.242e+13 | 3rd Qu.:1.216e+15 | 3rd Qu.: 1.0766 | 3rd Qu.: 0.1077 | 3rd Qu.: 0.6657 | 3rd Qu.: 0.0462 | 3rd Qu.: 0.0222 | 3rd Qu.: 0.5005 | 3rd Qu.:0.0035 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0.0000 | 3rd Qu.:0 | 3rd Qu.: 7378 | 3rd Qu.:0.3368 | 3rd Qu.:0.6307 | 3rd Qu.:0.7479 | 3rd Qu.:15.036 | 3rd Qu.: 7.290 | 3rd Qu.: 4.1043 | 3rd Qu.: 1379860 | 3rd Qu.:3.597e+11 | 3rd Qu.:1.752e+16 | 3rd Qu.:8.023e+13 | 3rd Qu.:1.0468 | 3rd Qu.:0.1909 | 3rd Qu.:0.0069 | 3rd Qu.: 0.1823 | 3rd Qu.:6.298e+08 | 3rd Qu.:3.960e+16 | 3rd Qu.:2.164e+17 | 3rd Qu.:5.226e+13 | 3rd Qu.:2.598e+13 | 3rd Qu.:4.794e+14 | 3rd Qu.: 1.7974 | 3rd Qu.: 0.3002 | 3rd Qu.: 1.901 | 3rd Qu.: 0.1243 | 3rd Qu.: 0.0725 | 3rd Qu.: 1.0608 | 3rd Qu.:0.0079 | 3rd 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| NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA’s :7026 | NA | NA | NA | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA’s :8280 | NA | NA | NA | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA’s :9341 | NA | NA | NA | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA’s :10246 | NA | NA | NA | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA’s :11011 | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA’s :77 | NA’s :77 | NA | NA | NA | NA | NA’s :77 | NA’s :77 | NA | NA | NA | NA | NA’s :77 | NA’s :77 | NA | NA | NA | NA | NA’s :77 | NA’s :77 | NA | NA | NA | NA | NA’s :139 | NA’s :139 | NA’s :139 | NA’s :139 | NA’s :139 | NA’s :77 | NA’s :77 | NA | NA | NA |
** Wnioski z analizy podsumowanych danych: **
NA),NA na 0dane <- dane %>%
replace(is.na(.), 0)
Po ogólnej analizie danych, można zauważyć, że pewne kolumny zawierają stałe wartości:
wartość 0 przyjmują: local_BAa, local_NPa, local_Ra, local_RGa, local_SRGa, local_CCSa, local_CCPa, local_ZOa, ocal_ZDa, local_ZD_minus_a, local_ZD_plus_a
Wartość ‘DELFWT’ przyjmuje: fo_col
Wartość ‘PHDELWT’ przyjmuje: fc_col
Wartość 0 przyjmuje: weight_col
Wartość 0.2 przyjmuje: grid_space
Wartość 1.9 przyjmuje: solvent_radius
Wartość 1.4 przyjmuje: solvent_opening_radius
Wartość 2 przyjmuje: resolution_max_limit
Wartość 2.5 przyjmuje: part_step_FoFc_std_min
Wartość 7.1 przyjmuje: part_step_FoFc_std_max
Wartość 0.5 przyjmuje: part_step_FoFc_std_step
Dlatego do dalszej analizy danych, nie bedziemy wykorzystywać wymienionych kolumn
dane <- dane %>%
select(-(local_BAa:local_ZD_plus_a), -(fo_col:resolution_max_limit), -(part_step_FoFc_std_min:part_step_FoFc_std_step))
W zbiorze danych znajdują się kolumny, których wartości są obliczane na podstawie całego pliku PDB, a nie tylko na podstawie ligandu:
TwoFoFc_mean, TwoFoFc_std, TwoFoFc_square_std, TwoFoFc_min, TwoFoFc_max
Fo_mean, Fo_std, Fo_square_std, Fo_min, Fo_max
FoFc_mean, FoFc_std, FoFc_square_std, FoFc_min, FoFc_max
Fc_mean, Fc_std, Fc_square_std, Fc_min, Fc_max
resolution
TwoFoFc_bulk_mean, TwoFoFc_bulk_std, TwoFoFc_void_mean, TwoFoFc_void_std, TwoFoFc_modeled_mean, TwoFoFc_modeled_std
Fo_bulk_mean, Fo_bulk_std, Fo_void_mean, Fo_void_std, Fo_modeled_mean, Fo_modeled_std
Fc_bulk_mean, Fc_bulk_std, Fc_void_mean, Fc_void_std, Fc_modeled_mean, Fc_modeled_std
FoFc_bulk_mean, FoFc_bulk_std, FoFc_void_mean, FoFc_void_std, FoFc_modeled_mean, FoFc_modeled_std
TwoFoFc_void_fit_binormal_mean1, TwoFoFc_void_fit_binormal_std1, TwoFoFc_void_fit_binormal_mean2, TwoFoFc_void_fit_binormal_std2, TwoFoFc_void_fit_binormal_scale, TwoFoFc_solvent_fit_normal_mean, TwoFoFc_solvent_fit_normal_std
Do dalszej analizy, nie bedziemy wykorzystywać kolumn wymienionych wyżej
dane <- dane %>%
select(-(TwoFoFc_mean:Fc_max), -resolution, -(TwoFoFc_bulk_mean:TwoFoFc_solvent_fit_normal_std))
Poniższe korelogramy reprezentują korelację między poszczególnymi zmiennymi. Zbiór wszystkich kolumn, dla analizowanych danych, jest bardzo duży, dlatego po wnikliwej analizie, można było zauważyć, że kolumny part_XX niosą tą samą informację, jednak dla innego progu odcięcia. Dlatego, aby ograniczyć zbiór porównywanych zmiennych, kolumny podzielone zostały na zbiór zmiennych ogólnych (nie zawierających kolumn part), a także na rozłączne zbiory part. Korelacja nie była liczona dla dwóch różnych zbiorów part (np. między part01 i part02), a jedynie wewnątrz poszczególnych zbiorów part i atrybutów ogólnych.
Filtrowanie zbioru danych i eliminacja kolumn zawierających wartości stałe i tekstowe ***
# Dane bez stałych wartości i wartości tekstowych
dane_obliczenia <- dane %>%
select(-(title:chain_id), -local_parts, -local_min, -part_00_blob_parts)
Są to wszystkie zmienne ogólne (nie zawierają kolumn part_XX_) ***
corrgram(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla podstawowych atrybutów",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_00 ***
# Dane dla part_00
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_00_blob_electron_sum:part_00_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_00",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_01 ***
# Dane dla part_01
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_01_blob_electron_sum:part_01_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_01",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_02 ***
# Dane dla part_02
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_02_blob_electron_sum:part_02_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_02",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_03 ***
# Dane dla part_03
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_03_blob_electron_sum:part_03_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_03",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_04 ***
# Dane dla part_04
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_04_blob_electron_sum:part_04_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_04",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_05 ***
# Dane dla part_05
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_05_blob_electron_sum:part_05_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_05",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_06 ***
# Dane dla part_06
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_06_blob_electron_sum:part_06_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_06",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_07 ***
# Dane dla part_07
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_07_blob_electron_sum:part_07_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_07",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_08 ***
# Dane dla part_08
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_08_blob_electron_sum:part_08_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_08",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
Są to wszystkie zmienne ogólne i kolumny z part_09 ***
# Dane dla part_09
corrgram(data.frame(dane_obliczenia %>%
select(-(part_00_blob_electron_sum:part_09_density_sqrt_E3)),
dane_obliczenia %>%
select(part_09_blob_electron_sum:part_09_density_sqrt_E3)),
order=TRUE,
main="Korelogram dla atrybutów wraz z part_09",
lower.panel=panel.shade,
upper.panel=panel.pie,
diag.panel=panel.minmax,
text.panel=panel.txt)
res_namepodsumowanie <- dane %>%
group_by(res_name) %>%
summarise(n=n()) #Podliczenie
Liczba wszystkich klas res_name wynosi: ** 2685 **
Liczba ta jest bardzo duża, dlatego na poniższym wykresie przedstawione zostało 20 najliczniejszych klas.
podsumowanie <- podsumowanie %>%
arrange(desc(n)) %>%
slice(1:20)
podsumowanie$res_name <- factor(podsumowanie$res_name, levels=unique(podsumowanie$res_name))
ggplot(podsumowanie , aes(x = res_name, y = n, order = desc(n))) +
geom_bar(stat="identity") +
theme_bw()
rozk <- stack(dane %>% select(local_res_atom_non_h_count, local_res_atom_non_h_electron_sum))
ggplot(rozk, aes(x = values)) + geom_density(aes(group=ind, colour=ind, fill=ind), alpha=0.3)
Analizując powyższy wykres, można zauważyć, że:
local_res_atom_non_h_count wynosza odpowiednio 7 i 13.43local_res_atom_non_h_electron_sum są bardziej rozrzucone. Jednak analizując pierwszy (30) i trzeci (145) kwartyl widzimy, że wartości te są skoncetrowane bliżej średniej (101.5) i mediany (55), dlatego też na wykresie widać długi “ogon”d <- dane %>%
mutate(y = 6+(round(jitter(local_res_atom_non_h_count, factor = 2.5, amount = 0))), x = 50+(round(jitter(local_res_atom_non_h_electron_sum, factor = 3.5, amount = 0)))) %>% select(x, y)
rozklad <- ggplot(d,
aes(x = x,
y = y)) +
stat_density2d(geom="tile", aes(fill = ..density..), contour = FALSE) + #, position = position_jitter()) +
scale_fill_gradientn(colours=rev(brewer.pal(11, "Spectral"))) +
coord_cartesian(xlim = c(0,650),
ylim = c(0,100)) +
scale_x_continuous(breaks = seq(0,600,100)) +
scale_y_continuous(breaks = seq(0,100,20)) +
theme(legend.position="none",
axis.title.x = element_blank(),
axis.title.y = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.background = element_rect(fill = rgb(0.368, 0.309, 0.635)))
#Wykresy margin
ggExtra::ggMarginal(
rozklad,
type = 'histogram',
margins = 'both',
size = 5,
xparams = list(binwidth = 6, colour = "black", fill = "red"),
yparams = list(binwidth = 1, colour = "black", fill = "red")
)
Do stworzenia wykresu, wykozystana została biblioteka ggplot2 i ggEkstra. Druga wymieniona biblioteka umożliwiła stowrzenie wykresów na poszczególnych osiach. Do pokolorowania rozkładu wykorzystana została biblioteka RColorBrewer, z której skorzystano z typu kolorów Spectral. Należało go jednak odwrócić. Aby dokładniej przeanalizowac dane, które były skupione blisko wartości zerowych, wykorzystany został jitter.
kable(dane %>%
mutate(blad = abs(dict_atom_non_h_count - local_res_atom_non_h_count)) %>%
select(res_name, blad) %>%
group_by(res_name) %>%
summarise(minimum = min(blad),
maximum = max(blad),
warjancja = var(blad),
odch_stand = sd(blad)) %>%
arrange(desc(maximum)) %>%
slice(1:10))
| res_name | minimum | maximum | warjancja | odch_stand |
|---|---|---|---|---|
| PEU | 64 | 69 | 12.5000 | 3.535534 |
| CDL | 0 | 60 | 527.6944 | 22.971601 |
| PC1 | 15 | 43 | 252.3333 | 15.885003 |
| 3TL | 0 | 33 | 363.0000 | 19.052559 |
| CPQ | 33 | 33 | NA | NaN |
| JEF | 33 | 33 | NA | NaN |
| PE3 | 0 | 33 | 544.5000 | 23.334524 |
| PEE | 2 | 33 | 267.3333 | 16.350331 |
| VV7 | 33 | 33 | NA | NaN |
| LI1 | 27 | 32 | 12.5000 | 3.535534 |
kable(dane %>%
mutate(blad = abs(dict_atom_non_h_electron_sum - local_res_atom_non_h_electron_sum)) %>%
select(res_name, blad) %>%
group_by(res_name) %>%
summarise(minimum = min(blad),
maximum = max(blad),
warjancja = var(blad),
odch_stand = sd(blad)) %>%
arrange(desc(maximum)) %>%
slice(1:10))
| res_name | minimum | maximum | warjancja | odch_stand |
|---|---|---|---|---|
| PEU | 426 | 460 | 578.00 | 24.04163 |
| CDL | 0 | 360 | 19013.11 | 137.88804 |
| PC1 | 91 | 284 | 11064.33 | 105.18713 |
| ATG | 252 | 252 | 0.00 | 0.00000 |
| SAP | 252 | 252 | NA | NaN |
| ABG | 242 | 242 | NA | NaN |
| CPQ | 225 | 225 | NA | NaN |
| PEE | 12 | 224 | 12761.33 | 112.96607 |
| VV7 | 224 | 224 | NA | NaN |
| PE3 | 0 | 222 | 24642.00 | 156.97771 |
part <- dane %>% select(part_01_blob_electron_sum:part_01_density_sqrt_E3)
for(i in seq_along(part)) {
srednia <- mean(part[,i], rm.na=TRUE)
min <- min(part[,i], rm.na=TRUE)
max <- max(part[,i], rm.na=TRUE)
w <- ggplot(data = part, aes(x=part[,i], label = srednia)) +
scale_x_continuous(colnames(part %>% select(i))) +
scale_y_continuous("Liczność") +
geom_histogram(aes(y = ..density.., fill = ..count..)) + geom_density(colour = "red", size = 1.5) +
scale_fill_gradientn(colours=brewer.pal(11, "Spectral")) +
geom_vline(data = NULL, aes(xintercept=srednia), linetype = "dashed", size=2) +
ggtitle(paste("Rozkład wartości dla atrybutu ", colnames(part %>% select(i)), " średnia=", srednia, sep = ""))
print(w)
}
Powyższe wykresy pokazują rozkład poszczególnych zmiennych dla Part_01. Patrząc na wcześniejsze podsumowanie surowych danych, można zauważyć, że kolumny te posiadały bardzo dużą liczbę wartości pustych, które w dalszej części zostały także zamienione na wartość 0 (stąd też widoczne wysokie rozkłady wartości w okolicach 0)
Do przewidywania liczby atomów wykorzystany został mogel regresji liniowej. Dodatkowo, porównany został sposób uczenia modelu regresji z wykorzystaniem standardowego próbkowania i walidacji krzyżowej. Analizując dalsze wyniki, oba podejścia nie zmieniły uzyskanych wyników. Do analizy atrybutów wykorzystane zostały wszystkie zmienna oprócz zmiennych słownikowych (dist_)
proba <- dane %>% select(-(title:chain_id), -(dict_atom_non_h_count:dict_atom_S_count))
inTraining <- createDataPartition(y=proba$local_res_atom_non_h_count,
p= .75,
list = FALSE)
training <- proba[ inTraining,]
testing <- proba[ -inTraining,]
"lm"lmFit <- train(local_res_atom_non_h_count ~ . ,
method="lm",
data = training)
"lm" z Cross-Validationctrl <- trainControl(method = "cv", number = 10)
lmCVFit <- train(local_res_atom_non_h_count ~ . ,
method="lm",
data = training,
trControl = ctrl)
"lm"plot(varImp(lmFit), top = 20)
"lm" z Cross-Validationplot(varImp(lmCVFit), top = 20)
"lm"predVal<-predict(lmFit, testing)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
modelvalues<-data.frame(obs = testing$local_res_atom_non_h_count, pred=predVal)
defaultSummary(modelvalues)
## RMSE Rsquared
## 1.4232369 0.9904637
"lm" z Cross-ValidationpredVal<-predict(lmCVFit, testing)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
modelvalues<-data.frame(obs = testing$local_res_atom_non_h_count, pred=predVal)
defaultSummary(modelvalues)
## RMSE Rsquared
## 1.4232369 0.9904637
"lm"predictedValues <- predict(lmFit)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
plot(training$local_res_atom_non_h_count, predictedValues)
"lm" z Cross-ValidationpredictedValues <- predict(lmCVFit)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
plot(training$local_res_atom_non_h_count, predictedValues)
proba <- dane %>% select(-(title:chain_id), -(dict_atom_non_h_count:dict_atom_S_count))
inTraining <- createDataPartition(y=proba$local_res_atom_non_h_electron_sum,
p= .75,
list = FALSE)
training <- proba[ inTraining,]
testing <- proba[ -inTraining,]
"lm"lmFit <- train(local_res_atom_non_h_electron_sum ~ . ,
method="lm",
data = training)
"lm" z Cross-Validationctrl <- trainControl(method = "cv", number = 10)
lmCVFit <- train(local_res_atom_non_h_electron_sum ~ . ,
method="lm",
data = training,
trControl = ctrl)
"lm"plot(varImp(lmFit), top = 20)
"lm" z Cross-Validationplot(varImp(lmCVFit), top = 20)
"lm"predVal<-predict(lmFit, testing)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
modelvalues<-data.frame(obs = testing$local_res_atom_non_h_electron_sum, pred=predVal)
defaultSummary(modelvalues)
## RMSE Rsquared
## 120.1233936 0.4140984
"lm" z Cross-ValidationpredVal<-predict(lmCVFit, testing)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
modelvalues<-data.frame(obs = testing$local_res_atom_non_h_electron_sum, pred=predVal)
defaultSummary(modelvalues)
## RMSE Rsquared
## 120.1233936 0.4140984
"lm"predictedValues <- predict(lmFit)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
plot(training$local_res_atom_non_h_electron_sum, predictedValues)
"lm" z Cross-ValidationpredictedValues <- predict(lmCVFit)
## Warning in predict.lm(modelFit, newdata): prediction from a rank-deficient
## fit may be misleading
plot(training$local_res_atom_non_h_electron_sum, predictedValues)
Do stworzenia klasyfikatora dla zmiennej res_name, wykorzystano wiedzę uzyskaną z powyższych badań. Znając dużą liczbę różnych wartości dla zmiennej res_name, klasyfikator został wykorzystany do zbudowania modelu dla wartości zmiennych przekraczających liczbę 50. Tym samym ograniczyło to liczbę analizowanego zbioru. Kolejnym wnioskiem wywinioskowanym z eksploracji danych było dostrzeżenie korelacji między zmiennymi. Powyższe korelogramy pokazały, że niektóre kolumny nie są ze sobą powiązane i tym samym niepotrzebne jest porównywanie ich do stworzenia modelu. Dlatego ustawiony został próg korelacji 0.90. Do budowy klasyfikacji wykorzystane zostały dwa modele - jeden z nich opierał się na algorytmie GBM, a drugi na Random Forest. Analizując poszczególne wyniki, algorytm Random Forest stworzył model, który okazał się bardziej trafnym (wyższy wskażnik Kappa i Accuracy). Analizując także Confussion Matrix, można dostrzec, że klasyfikator popełniał wysoki błąd dla niektórych ligardów.
da <- dane %>%
group_by(res_name) %>%
summarise(liczba = n()) %>%
filter(liczba > 50)
#res_name <- dane %>%
# filter(res_name %in% da$res_name) %>%
# select(res_name)
descr <- dane %>%
filter(res_name %in% da$res_name) %>%
select(-(res_id:dict_atom_S_count), -local_min, -title, -pdb_code)
cols = 2:length(descr)
descr[,cols] = apply(descr[,cols], 2, function(x) as.numeric(x))
#res_name <- res_name$res_name
predictors <- names(descr)[names(descr) != "res_name"]
inTrain <- createDataPartition(descr$res_name, p = 3/4, list = FALSE)
training <- descr[inTrain,]
testing <- descr[-inTrain,]
res_name_training <- training %>% select(res_name)
res_name_testing<- testing %>% select(res_name)
training <- training %>% select(-res_name)
testing <- testing %>% select(-res_name)
ncol(training)
## [1] 701
descrCorr <- cor(training)
highCorr <- findCorrelation(descrCorr, 0.90)
training <- training[, -highCorr]
testing <- testing[, -highCorr]
ncol(training)
## [1] 159
res_name_training <- res_name_training %>% mutate(name = paste("name_", res_name, sep="")) %>% select(name)
res_name_testing <- res_name_testing %>% mutate(name = paste("name_", res_name, sep="")) %>% select(name)
xTrans <- preProcess(training)
training <- predict(xTrans, training)
testing <- predict(xTrans, testing)
training <- data.frame(res_name_training, training)
testing <- data.frame(res_name_testing, testing)
gbmGrid <- expand.grid(interaction.depth = c(1, 5, 10),
n.trees = (5:10)*2,
shrinkage = 0.1,
n.minobsinnode = 20)
ctrl <- trainControl(method = "repeatedcv",
number = 2,
repeats = 5)
rfGrid <- expand.grid(mtry = c(10:15))
gbmFit <- train(name~.,
data = training,
method = "gbm",
trControl = ctrl,
verbose = FALSE,
bag.fraction = 0.5,
tuneGrid = gbmGrid)
rfFit <- train(name~.,
data = training,
method = "rf",
trControl = ctrl,
tuneGrid = rfGrid,
ntree = 30)
plot(gbmFit)
plot(gbmFit, metric = "Kappa")
plot(gbmFit, plotType = "level")
resampleHist(gbmFit)
plot(rfFit)
plot(rfFit, metric = "Kappa")
resampleHist(rfFit)
gbmPred <- predict(gbmFit, testing)
matrix <- as.matrix(confusionMatrix(gbmPred, testing$name))
kable(matrix, digits = 3, caption = "Confusion Matrix dla GBM")
| name_ACT | name_ADP | name_ATP | name_BME | name_CA | name_CD | name_CIT | name_CL | name_CO | name_CU | name_EDO | name_EPE | name_FAD | name_FE | name_FE2 | name_FMN | name_GDP | name_GOL | name_HEM | name_K | name_MAN | name_MES | name_MG | name_MN | name_MPD | name_NA | name_NAD | name_NAG | name_NAP | name_NDP | name_NI | name_PEG | name_PG4 | name_PLP | name_PO4 | name_SAH | name_SEP | name_SO4 | name_TRS | name_ZN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| name_ACT | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 6 | 0 | 2 |
| name_ADP | 0 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 4 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 |
| name_ATP | 0 | 5 | 8 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 |
| name_BME | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_CA | 0 | 1 | 4 | 2 | 82 | 0 | 0 | 4 | 0 | 4 | 0 | 1 | 0 | 6 | 2 | 0 | 0 | 8 | 1 | 3 | 1 | 1 | 11 | 8 | 0 | 3 | 1 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 1 | 11 | 1 | 15 |
| name_CD | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_CIT | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| name_CL | 6 | 0 | 0 | 0 | 4 | 1 | 0 | 52 | 0 | 0 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 11 | 0 | 0 | 4 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 0 | 0 | 15 | 0 | 3 |
| name_CO | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_CU | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
| name_EDO | 0 | 0 | 0 | 3 | 4 | 0 | 0 | 1 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 5 | 0 | 0 |
| name_EPE | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| name_FAD | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_FE | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
| name_FE2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_FMN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 1 |
| name_GDP | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_GOL | 9 | 3 | 0 | 4 | 7 | 0 | 5 | 6 | 1 | 0 | 38 | 2 | 1 | 1 | 0 | 0 | 0 | 119 | 1 | 1 | 5 | 3 | 12 | 0 | 10 | 16 | 1 | 13 | 0 | 1 | 1 | 11 | 3 | 0 | 4 | 0 | 1 | 11 | 6 | 3 |
| name_HEM | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 62 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
| name_K | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| name_MAN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 |
| name_MES | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_MG | 0 | 0 | 2 | 1 | 17 | 1 | 1 | 3 | 0 | 0 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 7 | 0 | 2 | 4 | 0 | 32 | 4 | 0 | 8 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 8 | 2 | 10 |
| name_MN | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
| name_MPD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NA | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 5 | 0 | 0 | 4 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 3 | 0 | 0 | 2 | 0 | 0 | 4 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| name_NAD | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NAG | 0 | 2 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 8 | 1 | 0 | 4 | 1 | 7 | 0 | 0 | 1 | 1 | 62 | 2 | 1 | 0 | 0 | 5 | 0 | 1 | 1 | 1 | 2 | 2 | 0 |
| name_NAP | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NDP | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NI | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PEG | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PG4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PLP | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PO4 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 13 | 0 | 5 |
| name_SAH | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
| name_SEP | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 |
| name_SO4 | 6 | 2 | 0 | 0 | 24 | 2 | 1 | 19 | 2 | 1 | 4 | 3 | 0 | 3 | 0 | 0 | 0 | 11 | 0 | 4 | 0 | 6 | 14 | 1 | 0 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 37 | 0 | 1 | 212 | 1 | 16 |
| name_TRS | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| name_ZN | 1 | 0 | 1 | 0 | 8 | 8 | 0 | 0 | 7 | 14 | 0 | 0 | 0 | 11 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 1 | 7 | 0 | 1 | 7 | 0 | 134 |
rfPred <- predict(rfFit, testing)
matrix <- as.matrix(confusionMatrix(rfPred, testing$name))
kable(matrix, digits = 3, caption = "Confusion Matrix dla Random Forest")
| name_ACT | name_ADP | name_ATP | name_BME | name_CA | name_CD | name_CIT | name_CL | name_CO | name_CU | name_EDO | name_EPE | name_FAD | name_FE | name_FE2 | name_FMN | name_GDP | name_GOL | name_HEM | name_K | name_MAN | name_MES | name_MG | name_MN | name_MPD | name_NA | name_NAD | name_NAG | name_NAP | name_NDP | name_NI | name_PEG | name_PG4 | name_PLP | name_PO4 | name_SAH | name_SEP | name_SO4 | name_TRS | name_ZN | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| name_ACT | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 0 | 0 |
| name_ADP | 0 | 11 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 4 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| name_ATP | 0 | 7 | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 |
| name_BME | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_CA | 1 | 1 | 2 | 1 | 80 | 1 | 1 | 3 | 0 | 5 | 0 | 1 | 0 | 7 | 2 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 7 | 8 | 0 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 1 | 7 | 0 | 16 |
| name_CD | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_CIT | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_CL | 7 | 0 | 0 | 0 | 6 | 1 | 0 | 47 | 1 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 12 | 2 | 0 | 3 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 14 | 0 | 2 |
| name_CO | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_CU | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| name_EDO | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 1 | 1 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 |
| name_EPE | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_FAD | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 31 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_FE | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
| name_FE2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_FMN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_GDP | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_GOL | 8 | 3 | 0 | 11 | 11 | 0 | 6 | 16 | 1 | 0 | 45 | 4 | 2 | 1 | 0 | 0 | 0 | 136 | 0 | 6 | 4 | 4 | 22 | 0 | 11 | 21 | 0 | 11 | 0 | 0 | 2 | 13 | 8 | 0 | 7 | 0 | 2 | 15 | 7 | 8 |
| name_HEM | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 65 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
| name_K | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_MAN | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_MES | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| name_MG | 0 | 2 | 2 | 0 | 11 | 1 | 2 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 1 | 2 | 0 | 32 | 3 | 1 | 6 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 9 | 4 | 4 |
| name_MN | 0 | 1 | 0 | 0 | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | 0 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
| name_MPD | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NA | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| name_NAD | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_NAG | 0 | 3 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 0 | 8 | 2 | 0 | 3 | 1 | 6 | 1 | 0 | 2 | 0 | 71 | 2 | 1 | 0 | 2 | 1 | 0 | 1 | 2 | 2 | 3 | 2 | 1 |
| name_NAP | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_NDP | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| name_NI | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| name_PEG | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PG4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| name_PLP | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 1 | 1 | 1 | 0 | 0 | 1 |
| name_PO4 | 2 | 0 | 0 | 0 | 4 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 6 | 0 | 1 |
| name_SAH | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 |
| name_SEP | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 |
| name_SO4 | 6 | 0 | 0 | 0 | 26 | 2 | 0 | 21 | 2 | 2 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 6 | 0 | 7 | 14 | 2 | 0 | 6 | 0 | 2 | 0 | 1 | 3 | 0 | 0 | 0 | 44 | 0 | 3 | 224 | 1 | 14 |
| name_TRS | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| name_ZN | 0 | 1 | 1 | 0 | 10 | 6 | 0 | 0 | 7 | 17 | 0 | 0 | 0 | 16 | 7 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 16 | 0 | 0 | 1 | 0 | 1 | 0 | 9 | 0 | 0 | 2 | 5 | 0 | 2 | 7 | 0 | 148 |